Alfredo Cuzzocrea

Orcid: 0000-0002-7104-6415

Affiliations:
  • University of Calabria, IDEA Lab, Cosenza, Italy
  • University of Paris City, LIPADE, Paris, France
  • University of Lorraine, LORIA, Nancy, France (former)
  • University of Trieste, Trieste, Italy (former)


According to our database1, Alfredo Cuzzocrea authored at least 640 papers between 2001 and 2025.

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Bibliography

2025
Privacy-preserving OLAP against big query workloads: innovative theories and theorems.
Distributed Parallel Databases, December, 2025

2024
A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets.
J. Intell. Inf. Syst., August, 2024

Analyzing and assessing explainable AI models for smart agriculture environments.
Multim. Tools Appl., April, 2024

A Stochastic-Process Methodology for Detecting Anomalies at Runtime in Embedded Systems.
Trans. Fuzzy Sets Syst., 2024

Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection.
CoRR, 2024

Turning Multidimensional Big Data Analytics into Practice: Design and Implementation of ClustCube Big-Data Tools in Real-Life Scenarios.
CoRR, 2024

Modeling and supporting adaptive Complex Data-Intensive Web Systems via XML and the O-O paradigm: The OO-XAHM model.
Array, 2024

Towards Privacy-Preserving Multi-Cloud Identity Management Using SOLID.
Proceedings of the 21st International Conference on Security and Cryptography, 2024

Compressing Big OLAP Data Cubes over Mobile Clouds: A Hierarchy-Based Data Partitioning Approach.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

An Innovative Big Temporal Data Analytics Technique over Real-Life Healthcare Datasets: The F-TBDA Approach.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Mining and Forecasting Energy Consumption Based on Weather Data.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Secured UAV Navigation: A Novel Intrusion Detection System Based on PWM Signal Analysis.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Towards Analysis and Interpretation of Large Language Models for Arithmetic Reasoning.
Proceedings of the 11th IEEE Swiss Conference on Data Science, 2024

Empowering Multidimensional Machine Learning over Cloud- Enabled Big Data Infrastructures with ClustCube.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Optimal Location of Hubs over Networks with Demand Uncertainty: A Fundamental Mathematical Model.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

Privacy-Preserving Big Hierarchical Data Analytics via Co-Occurrence Analysis.
Proceedings of the 13th International Conference on Data Science, 2024

A Location Analytics Algorithm to Analyze Geographic and Demographic Data for Restaurant Analytics.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

A SOLID-Based Framework for Supporting Privacy-Preserving Identity Management in Multi-Cloud Environments.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

An Environmental Data Science Solution for Data Analytics Exploration of Traffic Interaction on Air Quality.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Quantum Adversarial Attacks: Developing Quantum FGSM Algorithm.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Uncovering the Interpretation of Large Language Models.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
A Reference Architecture for Supporting Multidimensional Big Data Analytics over Big Web Knowledge Bases: Definitions, Implementation, Case Studies.
Int. J. Semantic Comput., December, 2023

An Artificial Intelligence Framework for Supporting Coarse-Grained Workload Classification in Complex Virtual Environments.
TFSS, 2023

An Innovative Framework for Supporting Big Moving Objects Tracking, Analysis and Mining Effectively and Efficiently.
J. Data Intell., 2023

Enhanced Emotion Detection and Analysis in Human-Robot Interactions: An Innovative Model and Its Experimental Validation.
J. Vis. Lang. Comput., 2023

A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments.
Int. J. Data Min. Model. Manag., 2023

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data.
CoRR, 2023

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
CoRR, 2023

Privacy-Preserving OLAP via Modeling and Analysis of Query Workloads: Innovative Theories and Theorems.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023

An Innovative Framework for Supporting Multi-Criteria Ratings and Reviews over Big Textual Data.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Attribution Methods Assessment for Interpretable Machine Learning.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Graph Representation Learning for Complex Security Problems.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

Optimal Location of Charging Stations for Electric Vehicles: A Theoretically-Sound Heuristic Model.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

BPM in the Era of Industry 4.0: A Bibliometric Analysis.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

A Multidimensional-Paradigm-Centered Architecture for Cooperative Digital Ecosystems.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

A Machine Learning Methodology for Optimal Big Data Processing in Advanced Smart City Environments.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

Structural Node Representation Learning for Detecting Botnet Nodes.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

Probability Density Function for Clustering Validation.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Advanced Machine Learning Structures over Big Data Repositories: Definitions, Models, Properties, Algorithms.
Proceedings of the Fuzzy Systems and Data Mining IX, 2023

Building and Assessing an Italian Textual Dataset for Emotion Recognition in Human-Robot Interactions.
Proceedings of the 29th International DMS Conference on Visualization and Visual Languages, 2023

A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems.
Proceedings of the Database and Expert Systems Applications, 2023

Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks with Demand Uncertainty.
Proceedings of the Database and Expert Systems Applications, 2023

Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

QFLS: A Cloud-Based Framework for Supporting Big Healthcare Data Management and Analytics from Big Data Lakes: Definitions, Requirements, Models and Techniques.
Proceedings of the 12th International Conference on Data Science, 2023

A Theoretical Framework for Supporting Clustering Validation via Non-Negative-Matrix-Factorization Trace Sequences Over Probabilistic Spaces.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Privacy Preservation of Big Spatio-Temporal Co-occurrence Data.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Evolution of Big Data Models from Hierarchical Models to Knowledge Graphs.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

IEEE COMPSAC 2023 - Resilient Computing and Computing for Resilience in a Sustainable Cyber-Physical World: Summary and Future Research Directions.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Big OLAP Data Cube Compression Algorithms in Column-Oriented Cloud/Edge Data Infrastructures.
Proceedings of the Ninth IEEE Multimedia Big Data, 2023

Towards Big Data Analytics over Mobile User Data using Machine Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

Machine-Learning-Based Multidimensional Big Data Analytics over Clouds via Multi-Columnar Big OLAP Data Cube Compression.
Proceedings of the IEEE International Conference on Big Data, 2023

Effective and Efficient Big OLAP Data Cube Compression in Mobile Cloud Environments: The IQTS Algorithm.
Proceedings of the IEEE International Conference on Big Data, 2023

F-TBDA: A Frequency-Based Temporal Big Data Analytics Technique for Mining and Analyzing Quality-Of-Life Indicators of Cancer Patients.
Proceedings of the IEEE International Conference on Big Data, 2023

BigData Fusion for Trajectory Prediction of Multi-Sensor Surveillance Information Systems.
Proceedings of the IEEE International Conference on Big Data, 2023

Adversarial Data-Augmented Resilient Intrusion Detection System for Unmanned Aerial Vehicles.
Proceedings of the IEEE International Conference on Big Data, 2023

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions.
Proceedings of the IEEE International Conference on Big Data, 2023

Big Data Management for Machine Learning from Big Data.
Proceedings of the Advanced Information Networking and Applications, 2023

2022
An Innovative Risk Assessment Methodology for Medical Information Systems.
IEEE Trans. Knowl. Data Eng., 2022

Cyber-attack detection via non-linear prediction of IP addresses: an innovative big data analytics approach.
Multim. Tools Appl., 2022

Towards a Grid-Based Framework for Supporting Range Aggregate Queries Over Big Sensor Network Readings: Overview, Management, and Applications.
Int. J. Distributed Syst. Technol., 2022

Effective and efficient skyline query processing over attribute-order-preserving-free encrypted data in cloud-enabled databases.
Future Gener. Comput. Syst., 2022

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection.
CoRR, 2022

Supporting Big Moving Objects Tracking and Analysis: An Innovative Scan-Matching Algorithm.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Risk Analysis for Unsupervised Privacy-Preserving Tools.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

The Emerging Challenges of Big Data Lakes, and a Real-Life Framework for Representing, Managing and Supporting Machine Learning on Big Arctic Data.
Proceedings of the Advances in Intelligent Networking and Collaborative Systems, 2022

Compressing Big OLAP Data Cubes in Big Data Analytics Systems: New Paradigms, a Reference Architecture, and Future Research Perspectives.
Proceedings of the E-Business and Telecommunications - 19th International Conference, 2022

Compressing Big OLAP Data Cubes in Big Data Analytics Systems: New Paradigms and Future Research Perspectives.
Proceedings of the 19th International Conference on Smart Business Technologies, 2022

Virus Spread Modeling and Simulation: A Behavioral Parameters Approach and Its Application to Covid-19.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Scalable Joins over Big Data Streams: Actual and Future Research Trends.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Effectively and Efficiently Supporting Visual Big Data Analytics over Big Sequential Data: An Innovative Data Science Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

Effective and Efficient Heuristic Approaches for Solving the Capacitated P-Median Clustering Problem.
Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing, 2022

Towards a Bayesian-Neural-Networks Framework for Scaling Posterior Distributions over Different-Curation Datasets.
Proceedings of the 2022 6th International Conference on Cloud and Big Data Computing, 2022

Generalized Fisher Kernel with Bregman Divergence.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

CORE-BCD-mAI: A Composite Framework for Representing, Querying, and Analyzing Big Clinical Data by Means of Multidimensional AI Tools.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

Transportation Analytics with Fuzzy Logic and Regression.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

A Fuzzy-Logic Based Multi-Dimensional Analysis of Traffic Incident Data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

eXplainable AI for Smart Agriculture.
Proceedings of the 28th International DMS Conference on Visualization and Visual Languages, 2022

Mahalanobis Distance Based K-Means Clustering.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

BigMDHealth: Supporting Multidimensional Big Data Management and Analytics over Big Healthcare Data via Effective and Efficient Multidimensional Aggregate Queries over Key-Value Stores.
Proceedings of the Data Science and Emerging Technologies, 2022

OLAP over Big COVID-19 Data: A Real-Life Case Study.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Effectively and Efficiently Supporting Predictive Big Data Analytics over Open Big Data in the Transportation Sector: A Bayesian Network Framework.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Predicting Mortality Rate based on Comprehensive Features of Intensive Care Unit Patients.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

IEEE COMPSAC 2022 Co-Located Workshops Summary.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Predictive Analytics for Supporting Environmental Sustainability and Disaster Management.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Mining Popular Topics from the Media.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Experimental Analysis and Verification of a Multi-modal-Biometrics Identity Verification Framework Based on the Dempster-Shafer Theory.
Proceedings of the Complex, Intelligent and Software Intensive Systems - Proceedings of the 16th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2022), June 29, 2022

Multidimensional Big Data Analytics over Big Web Knowledge Bases: Models, Issues, Research Trends, and a Reference Architecture.
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

Explainable AI at Work! What Can It Do for Smart Agriculture?
Proceedings of the Eighth IEEE International Conference on Multimedia Big Data, 2022

A Crowd Source System for YouTube Big Data Analytics: Unpacking Values from Data Sprawl.
Proceedings of the IEEE International Conference on Big Data, 2022

A Novel Machine Learning Based Framework for Bridge Condition Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset.
Proceedings of the IEEE International Conference on Big Data, 2022

Privacy and Security of Mobile Users in Smart Cities: A Reference Architecture.
Proceedings of the IEEE International Conference on Big Data, 2022

Multi-criteria Rating and Review based Recommendation Model.
Proceedings of the IEEE International Conference on Big Data, 2022

Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware: Neural Network Algorithms for Network Denial of Service (DOS) Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

GAPS: Generality and Precision with Shapley Attribution.
Proceedings of the IEEE International Conference on Big Data, 2022

Explaining IoT Attacks: An Effective and Efficient Semi-Supervised Learning Framework.
Proceedings of the IEEE International Conference on Big Data, 2022

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2022

Handwritten Word Recognition using Deep Learning Approach: A Novel Way of Generating Handwritten Words.
Proceedings of the IEEE International Conference on Big Data, 2022

Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data.
Proceedings of the IEEE International Conference on Big Data, 2022

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Big Data, 2022

Sports Data Management, Mining, and Visualization.
Proceedings of the Advanced Information Networking and Applications, 2022

2021
Sentiment Mining and Analysis over Text Corpora via Complex Deep Learning Neural Architectures.
J. Data Intell., 2021

Ceiling-Vision-Based Mobile Object Self-Localization: A Composite Framework.
J. Vis. Lang. Comput., 2021

Supporting Emotion Automatic Detection and Analysis over Real-Life Text Corpora via Deep Learning: Model, Methodology and Framework.
J. Vis. Lang. Comput., 2021

An Effective and Efficient Framework for Fast Privacy-Preserving Keyword Search on Encrypted Outsourced Cloud Data.
J. Ubiquitous Syst. Pervasive Networks, 2021

A composite framework for supporting user emotion detection based on intelligent taxonomy handling.
Log. J. IGPL, 2021

IEEE COMPSAC 2022.
Computer, 2021

A Novel Genetic Scan-Matching-Based Registration Algorithm for Supporting Moving Objects Tracking Effectively and Efficiently.
IEEE Access, 2021

Temporal Big Data Analytics: New Frontiers for Big Data Analytics Research (Panel Description).
Proceedings of the 28th International Symposium on Temporal Representation and Reasoning, 2021

Scalable Query Processing and Query Engines over Cloud Databases: Models, Paradigms, Techniques, Future Challenges.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

Innovative Paradigms for Supporting Privacy-Preserving Multidimensional Big Healthcare Data Management and Analytics: The Case of the EU H2020 QUALITOP Research Project.
Proceedings of the Fourth International Workshop on Semantic Web Meets Health Data Management, 2021

An Effective and Efficient Graph Representation Learning Approach for Big Graphs.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Non-Linear Analytic Prediction of IP Addresses for Supporting Cyber Attack Detection and Analysis.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

From Low-Level-Event-Logs to High-Level-Business-Process-Model-Activities: An Advanced Framework based on Machine Learning and Flexible BPMN Model Translation.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

A Visual Data Science Solution for Visualization and Visual Analytics of Big Sequential Data.
Proceedings of the 25th International Conference Information Visualisation, 2021

Dempster-Shafer-Based Fusion of Multi-Modal Biometrics for Supporting Identity Verification Effectively and Efficiently.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study.
Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

A Machine-Learning-Based Framework for Supporting Malware Detection and Analysis.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

A Neural-Network-Based Framework for Supporting Driver Classification and Analysis.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Lyapunov Central Limit Theorem: Theoretical Properties and Applications in Big-Data-Populated Smart City Settings.
Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

SeDaSOMA: A Framework for Supporting Serendipitous, Data-As-A-Service-Oriented, Open Big Data Management and Analytics.
Proceedings of the ICCBDC 2021: 5th International Conference on Cloud and Big Data Computing, Liverpool, United Kingdom, August 13, 2021

Content-Based Authorship Identification for Short Texts in Social Media Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

A Novel Approach for Supporting Italian Satire Detection Through Deep Learning.
Proceedings of the Flexible Query Answering Systems - 14th International Conference, 2021

Supporting Privacy-Preserving Big Data Analytics on Temporal Open Big Data.
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

Predictive Big Data Analytics for Service Requests: A Framework.
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

A Novel Framework for Supporting Mobile Object Self-Localization via Emerging Artificial Intelligence Tools.
Proceedings of the 27th International DMS Conference on Visualization and Visual Languages, 2021

Towards A Deep-Learning-Based Methodology for Supporting Satire Detection (S).
Proceedings of the 27th International DMS Conference on Visualization and Visual Languages, 2021

Enhancing Scan Matching Algorithms via Genetic Programming for Supporting Big Moving Objects Tracking and Analysis in Emerging Environments.
Proceedings of the Database and Expert Systems Applications, 2021

Distributed Big Data Computing for Supporting Predictive Analytics of Service Requests.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Bayesian Framework for Supporting Predictive Analytics over Big Transportation Data.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Enhancing LSTM Prediction of Vehicle Traffic Flow Data via Outlier Correlations.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Markovian Probabilistic Model for Risk Analysis and Forecasting in Big Healthcare Data Settings.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Evaluating Attribution Methods in Machine Learning Interpretability.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Open Data Lake to Support Machine Learning on Arctic Big Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Malware Detection and Prevention using Artificial Intelligence Techniques.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Privacy-Preserving Big Data Exchange: Models, Issues, Future Research Directions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Unsupervised Risk for Privacy.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Detecting Botnet Nodes via Structural Node Representation Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Big Data Lakes: Models, Frameworks, and Techniques.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Advances in Social Network Analysis and Mining in the Big Data Era: Overview of the IEEE/ACM ASONAM 2021 International Conference
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

PainRE-Life: A FHIR Based HUB for the management and support of patients with chronic pain.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

An Innovative Monocular Mobile Object Self-localization Approach Based on Ceiling Vision.
Proceedings of the Advanced Information Networking and Applications, 2021

A Big Data Science Solution for Analytics on Moving Objects.
Proceedings of the Advanced Information Networking and Applications, 2021

2020
A rewrite/merge approach for supporting real-time data warehousing via lightweight data integration.
J. Supercomput., 2020

An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts.
Soft Comput., 2020

A composite machine-learning-based framework for supporting low-level event logs to high-level business process model activities mappings enhanced by flexible BPMN model translation.
Soft Comput., 2020

An Effective and Efficient Machine-Learning-Based Framework for Supporting Event Detection and Analysis in Complex Environments.
J. Vis. Lang. Comput., 2020

An Innovative System for Supporting Acquisition and Reproduction of Gestures in Storytelling Humanoid Robots.
J. Vis. Lang. Comput., 2020

Extending Big Data Management via Semantics: Recent Innovations.
Inf. Syst., 2020

Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools.
Data Knowl. Eng., 2020

An Effective and Efficient Genetic-Fuzzy Algorithm for Supporting Advanced Human-Machine Interfaces in Big Data Settings.
Algorithms, 2020

Multidimensional Clustering over Big Data: Models, Issues, Analysis, Emerging Trends.
Proceedings of the SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, 2020

User Emotion Detection via Taxonomy Management: An Innovative System.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework.
Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020

A Deep-Learning-Based Framework for Supporting Analysis and Detection of Attacks on CAN Buses.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

SPPOLAP: Computing Privacy-Preserving OLAP Data Cubes Effectively and Efficiently Algorithms, Complexity Analysis and Experimental Evaluation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Predictive analytics on open big data for supporting smart transportation services.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Big Data Visualization and Visual Analytics of COVID-19 Data.
Proceedings of the 24th International Conference on Information Visualisation, 2020

An Intelligent Visual Big Data Analytics Framework for Supporting Interactive Exploration and Visualization of Big OLAP Cubes.
Proceedings of the 24th International Conference on Information Visualisation, 2020

Analysis and Comparison of Deep Learning Networks for Supporting Sentiment Mining in Text Corpora.
Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

Data science for healthcare predictive analytics.
Proceedings of the IDEAS 2020: 24th International Database Engineering & Applications Symposium, 2020

The IEEE ICDM 2020 Workshops.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Message from the ICDM 2020 General Chairs.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Scalable Distributed Pivot Analysis over Massive Big Data: Models, Paradigms, New Advancements.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

A Novel Big Data Analytics Approach for Supporting Cyber Attack Detection via Non-linear Analytic Prediction of IP Addresses.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

OLAPing Big Social Data: Multidimensional Big Data Analytics over Big Social Data Repositories.
Proceedings of the ICCBDC '20: 2020 4th International Conference on Cloud and Big Data Computing, 2020

Uncertainty and Imprecision in Big Data Management: Models, Issues, Paradigms, and Future Research Directions.
Proceedings of the ICCBDC '20: 2020 4th International Conference on Cloud and Big Data Computing, 2020

An Innovative Fuzzy Logic-Based Machine Learning Algorithm for Supporting Predictive Analytics on Big Transportation Data.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

An Effective and Efficient Technique for Supporting Privacy-Preserving Keyword-Based Search over Encrypted Data in Clouds.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction.
Proceedings of the 11th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020) / The 10th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2020) / Affiliated Workshops, 2020

Supporting Cyber Attack Detection via Non-Linear Analytic Prediction of IP Addresses: A Big Data Analytics Technique.
Proceedings of the 26th International DMS Conference on Visualization and Visual Languages, 2020

Towards an Intelligent System for Supporting Gesture Acquisition and Reproduction in Humanoid Robots (S).
Proceedings of the 26th International DMS Conference on Visualization and Visual Languages, 2020

Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Advanced, Privacy-Preserving and Approximate Big Data Management and Analytics in Distributed Environments: What is Now and What is Next.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Large-scale Sparse Structural Node Representation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Adaptive and Efficient Streaming Time Series Forecasting with Lambda Architecture and Spark.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Preserving Privacy of Temporal Big Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Actionable Knowledge Extraction Framework for COVID-19.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Machine Learning and OLAP on Big COVID-19 Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics.
Proceedings of the Advanced Information Networking and Applications, 2020

A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments.
Proceedings of the Advanced Information Networking and Applications, 2020

2019
AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning.
Sensors, 2019

An innovative framework for supporting big atmospheric data analytics via clustering-based spatio-temporal analysis.
J. Ambient Intell. Humaniz. Comput., 2019

Big data intelligence.
J. Ambient Intell. Humaniz. Comput., 2019

A novel GPU-aware Histogram-based algorithm for supporting moving object segmentation in big-data-based IoT application scenarios.
Inf. Sci., 2019

Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events.
Inf. Syst., 2019

<i>BFSPMiner</i>: an effective and efficient batch-free algorithm for mining sequential patterns over data streams.
Int. J. Data Sci. Anal., 2019

Effective and efficient distributed management of big clinical data: a framework.
Int. J. Data Min. Model. Manag., 2019

Social Big Data: Mining, Applications, and Beyond.
Complex., 2019

Privacy-Preserving OLAP-Based Monitoring of Data Streams: The PP-OMDS Approach.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Querying Influence Graphs over Online Social Networks Effectively and Efficiently.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

An effective and efficient algorithm for ranking web documents via genetic programming.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

A Big-Data-Analytics Framework for Supporting Classification of ADHD and Healthy Children via Principal Component Analysis of EEG Sleep Spindles Power Spectra.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

A Big-Data-Analytics Framework for Supporting Logistics Problems in Smart-City Environments.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

A Theoretical Approach to Discover Mutual Friendships from Social Graph Networks.
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

Big Data Management and Analytics in Intelligent Smart Environments: State-of-the-Art Analysis and Future Research Directions.
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

A machine-learning framework for supporting intelligent web-phishing detection and analysis.
Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

An Innovative Deep-Learning Algorithm for Supporting the Approximate Classification of Workloads in Big Data Environments.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Multi-class Text Complexity Evaluation via Deep Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Cognitive-Based Hybrid Collaborative Filtering with Rating Scaling on Entropy to Defend Shilling Influence.
Proceedings of the 8th International Conference on Networks, Communication and Computing, 2019

An Innovative Framework for Supporting Social Network Polluting-content Detection and Analysis.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

REMS.PA: A Complex Framework for Supporting OLAP-based Big Data Analytics over Data-intensive Business Processes.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

Management and Analytics of Big Data Sources in Intelligent Smart Environments: Where We Are and Where We Are Going.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Big-Data-Analytics System for Supporting Decision Making Processes in Complex Smart-City Applications.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Querying and Learning OSN Graphs for Advanced Viral Marketing Applications.
Proceedings of the 2019 3rd International Conference on Cloud and Big Data Computing, 2019

Fast privacy-preserving keyword search on encrypted outsourced data.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Flexible Querying and Analytics for Smart Cities and Smart Societies in the Age of Big Data: Overview of the FQAS 2019 International Conference.
Proceedings of the Flexible Query Answering Systems - 13th International Conference, 2019

Event Detection in Complex Environments: An Effective and Efficient Machine-Learning-Based Framework (S).
Proceedings of the 25th International DMS Conference on Visualization and Visual Languages, 2019

Urban Analytics of Big Transportation Data for Supporting Smart Cities.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

Towards An Effective and Efficient Machine-Learning-Based Framework for Supporting Event Detection in Complex Environments.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

Making the Pedigree to Your Big Data Repository: Innovative Methods, Solutions, and Algorithms for Supporting Big Data Privacy in Distributed Settings via Data-Driven Paradigms.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

An Intelligent Predictive Analytics System for Transportation Analytics on Open Data Towards the Development of a Smart City.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2019

Effective and Efficient Big Data Management in Distributed Environments: Models, Issues, and Research Perspectives.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Experiential Learning: Case Study-Based Portable Hands-on Regression Labware for Cyber Fraud Prediction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Personalized DeepInf: Enhanced Social Influence Prediction with Deep Learning and Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

RIBS: Risky Blind-Spots for Attack Classification Models.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

An HMM-Based Framework for Supporting Accurate Classification of Music Datasets.
Proceedings of the Intelligent Methods and Big Data in Industrial Applications., 2019

2018
SjClust: A Framework for Incorporating Clustering into Set Similarity Join Algorithms.
Trans. Large Scale Data Knowl. Centered Syst., 2018

Advanced pattern recognition from complex environments: a classification-based approach.
Soft Comput., 2018

Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments.
J. Reliab. Intell. Environ., 2018

Deviance-Aware Discovery of High-Quality Process Models.
Int. J. Artif. Intell. Tools, 2018

Detecting Insider Malicious Activities in Cloud Collaboration Systems.
Fundam. Informaticae, 2018

Strategies and systems towards grids and clouds integration: A DBMS-based solution.
Future Gener. Comput. Syst., 2018

An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Inverse Tree-OLAP: Definition, Complexity and First Solution.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

An Innovative Framework for Combining Set Similarity Join Algorithms and Clustering.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Multidimensional Mining over Big Healthcare Data: A Big Data Analytics Framework.
Proceedings of the 26th Italian Symposium on Advanced Database Systems, 2018

Predicting facebook-users' personality based on status and linguistic features via flexible regression analysis techniques.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Data analytics on the board game Go for the discovery of interesting sequences of moves in joseki.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Item-centric mining of frequent patterns from big uncertain data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Big Data Visualisation and Visual Analytics for Music Data Mining.
Proceedings of the 22nd International Conference Information Visualisation, 2018

Applying Machine Learning Techniques to Detect and Analyze Web Phishing Attacks.
Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, 2018

An Innovative Framework for Supporting Cognitive-Based Big Data Analytics for Frequent Pattern Mining.
Proceedings of the 2018 IEEE International Conference on Cognitive Computing, 2018

The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution.
Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events.
Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks.
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

PP-OMDS: An Effective and Efficient Framework for Supporting Privacy-Preserving OLAP-based Monitoring of Data Streams.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

Yet Another Automated OLAP Workload Analyzer: Principles, and Experiences.
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018

An Innovative Architecture for Supporting Cyber-Physical Security Systems.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

An Innovative Framework for Supporting Frequent Pattern Mining Problems in IoT Environments.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors.
Proceedings of the Cognitive Computing - ICCC 2018, 2018

Scalable Privacy-Preserving Big Data Management and Analytics: Where We Are and Where We Are Going.
Proceedings of the 2018 2nd International Conference on Cloud and Big Data Computing, 2018

Taxonomy-Based Detection of User Emotions for Advanced Artificial Intelligent Applications.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

A Novel Structural-Entropy-based Classification Technique for Supporting Android Ransomware Detection and Analysis.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Fuzzy Logic-Based Data Analytics on Predicting the Effect of Hurricanes on the Stock Market.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Generating Synthetic Memory References via Hierarchical Markov Models Effectively and Efficiently.
Proceedings of the 24th International DMS Conference on Visualization and Visual Languages, 2018

Learning Ranking Functions by Genetic Programming Revisited.
Proceedings of the Database and Expert Systems Applications, 2018

Towards Effective Generation of Synthetic Memory References Via Markovian Models.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Towards Lambda-Based Near Real-Time OLAP over Big Data.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

CIKM 2018 Workshops: Preface.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

CIKM 2018 Co-Located Workshops Summary.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

A Scalable Cloud-Edge Computing Framework for Supporting Device-Adaptive Big Media Provisioning.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Pedigree-ing Your Big Data: Data-Driven Big Data Privacy in Distributed Environments.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Privacy-Preserving Frequent Pattern Mining from Big Uncertain Data.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Improving Machine Learning Tools with Embeddings: Applications to Big Data Security.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A General Overview of Privacy-Preserving Big Data Management and Analytics Models, Methods and Techniques in Specific Domains: Static and Dynamic Distributed Environments.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

An Innovative Lambda-Architecture-Based Data Warehouse Maintenance Framework for Effective and Efficient Near-Real-Time OLAP over Big Data.
Proceedings of the Big Data - BigData 2018, 2018

Set Similarity Joins with Complex Expressions on Distributed Platforms.
Proceedings of the Advances in Databases and Information Systems, 2018

2017
An effective and efficient approximate two-dimensional dynamic programming algorithm for supporting advanced computer vision applications.
J. Vis. Lang. Comput., 2017

Semantics-Aware Approaches to Big Data Engineering.
J. Data Semant., 2017

Big Data Management: New Frontiers, New Paradigms.
Inf. Syst., 2017

An interoperable open data framework for discovering popular tours based on geo-tagged tweets.
Int. J. Intell. Inf. Database Syst., 2017

An innovative majority voting mechanism in interactive social network clustering.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

Big-data-driven innovation for enterprises: innovative big value paradigms for next-generation digital ecosystems.
Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

A WSLA-Extension Supporting Service and Contract Composition Modelling.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

Effectively and Efficiently Supporting Grid and Cloud Integration via a DBMS-based Framework.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

TourMiner: Effective and Efficient Clustering Big Mobile Social Data for Supporting Advanced Analytics Tools.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

An effective and efficient hybrid scan matching algorithm for mobile object applications.
Proceedings of the Symposium on Applied Computing, 2017

Syntactic and semantic validation of SPARQL queries.
Proceedings of the Symposium on Applied Computing, 2017

Multidimensional mining of big social data for supporting advanced big data analytics.
Proceedings of the 40th International Convention on Information and Communication Technology, 2017

Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Enhanced Prediction of User-Preferred YouTube Videos Based on Cleaned Viewing Pattern History.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Multidimensional database modeling: Literature survey and research agenda in the big data era.
Proceedings of the 2017 International Symposium on Networks, Computers and Communications, 2017

Enhancing contact center performance using cloud computing: a case study on telecom contact centers.
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017

Business scenarios for hierarchical workload management in data centers.
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017

A Composite Methodology for Supporting Early-Detection of Handwriting Dysgraphia via Big Data Analysis Techniques.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017

Big Web Data: Warehousing and Analytics - Recent Trends and Future Challenges.
Proceedings of the Current Trends in Web Engineering, 2017

Advanced ECHMM-Based Machine Learning Tools for Complex Big Data Applications.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

A Machine Learning Tool for Supporting Advanced Knowledge Discovery from Chess Game Data.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework Based on Ensemble Learning.
Proceedings of the Enterprise Information Systems - 19th International Conference, 2017

Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-learning Framework for Detecting Deviances in Business Process Instances.
Proceedings of the ICEIS 2017, 2017

Privacy-Preserving Big Data Stream Mining: Opportunities, Challenges, Directions.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Genetic Estimation of Iterated Function Systems for Accurate Fractal Modeling in Pattern Recognition Tools.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

A Novel Approach for Supporting Approximate Representation of Linear Prediction Residuals in Pattern Recognition Tools.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Scalable OLAP-Based Big Data Analytics over Cloud Infrastructures: Models, Issues, Algorithms.
Proceedings of the 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017, London, United Kingdom, September 17, 2017

Detecting and Diagnosing Syntactic and Semantic Errors in SPARQL Queries.
Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017), 2017

Ergodic Hidden Markov Models for Workload Characterization Problems.
Proceedings of the 23rd International Conference on Distributed Multimedia Systems, 2017

MapReduce-Based Complex Big Data Analytics over Uncertain and Imprecise Social Networks.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Querying Encrypted OLAP Data.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

XML-VM: An XML-Based Grid Computing Middleware.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

Intelligent Sensor Data Fusion for Supporting Advanced Smart Health Processes.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

MapReduce-based Algorithms for Managing Big RDF Graphs: State-of-the-Art Analysis, Paradigms, and Future Directions.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

RAPID: A Fast Data Update Protocol in Erasure Coded Storage Systems for Big Data.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Taming Size and Cardinality of OLAP Data Cubes over Big Data.
Proceedings of the Data Analytics - 31st British International Conference on Databases, 2017

Data masking techniques for NoSQL database security: A systematic review.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Tor traffic analysis and detection via machine learning techniques.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Fighting fake news spread in online social networks: Actual trends and future research directions.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Interactive mining of diverse social entities.
Int. J. Knowl. Based Intell. Eng. Syst., 2016

Semantics Meets Big Data: Formal Models, Practical Issues, Novel Paradigms.
J. Data Semant., 2016

A Robust and Versatile Multi-View Learning Framework for the Detection of Deviant Business Process Instances.
Int. J. Cooperative Inf. Syst., 2016

An Effective and Efficient MapReduce Algorithm for Computing BFS-Based Traversals of Large-Scale RDF Graphs.
Algorithms, 2016

Algorithms for Managing, Querying and Processing Big Data in Cloud Environments.
Algorithms, 2016

RECAP: Building Relatedness Explanations on the Web.
Proceedings of the 25th International Conference on World Wide Web, 2016

Energy-Efficient Data Mining Techniques for Emergency Detection in Wireless Sensor Networks.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016

An efficient CUDA-based approximate two-dimensional dynamic programming algorithm for advanced computer vision applications.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Querying NoSQL-based Crowdsourcing Systems Efficiently.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Adaptive Intrusion Detection in Distributed Environments: An Ensemble-Based Approach.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Computing Skylines over Encrypted Data in Cloud Environments.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

Real-time counting of moving objects in complex environments.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

OLAP analysis of multidimensional tweet streams for supporting advanced analytics.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A semantic-web-technology-based framework for supporting knowledge-driven digital forensics.
Proceedings of the 8th International Conference on Management of Digital EcoSystems, 2016

Advanced Query Answering Techniques over Big Mobile Data.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Knowledge Discovery from Social Graph Data.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016, 2016

Computing Theoretically-Sound Upper Bounds to Expected Support for Frequent Pattern Mining Problems over Uncertain Big Data.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

A DBMS-Based System for Integrating Grids and Clouds: Anatomy, Models, Functionalities.
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016

Clustering-Based Spatio-Temporal Analysis of Big Atmospheric Data.
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016

Warehousing and Protecting Big Data: State-Of-The-Art-Analysis, Methodologies, Future Challenges.
Proceedings of the International Conference on Internet of Things and Cloud Computing, 2016

A multi-view multi-dimensional ensemble learning approach to mining business process deviances.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An Innovative Framework for Effectively and Efficiently Supporting Big Data Analytics over Geo-Located Mobile Social Media.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

Mining Uplink-Downlink User Association in Wireless Heterogeneous Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

An Effective and Efficient Similarity-Matrix-Based Algorithm for Clustering Big Mobile Social Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

A Big Data Analytics Framework for Supporting Multidimensional Mining over Big Healthcare Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

SJClust: Towards a Framework for Integrating Similarity Join Algorithms and Clustering.
Proceedings of the ICEIS 2016, 2016

Towards Temporal Analysis of Integrated Scenarios for Sustainable Innovation.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

An Innovative Similarity Measure for Sentence Plagiarism Detection.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

SemSynX: Flexible Similarity Analysis of XML Data via Semantic and Syntactic Heterogeneity/Homogeneity Detection.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Big Data Provenance: State-Of-The-Art Analysis and Emerging Research Challenges.
Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, 2016

Big data compression paradigms for supporting efficient and scalable data-intensive IoT frameworks.
Proceedings of the Sixth International Conference on Emerging Databases: Technologies, 2016

Towards An Effective and Efficient Approximation Algorithm for Advanced Computer Vision Applications based on Two-Dimensional Dynamic Programming.
Proceedings of the 22nd International Conference on Distributed Multimedia Systems, 2016

Incorporating Clustering into Set Similarity Join Algorithms: The SjClust Framework.
Proceedings of the Database and Expert Systems Applications, 2016

TEMPORANA: Flexible Temporal Query Processing for Supporting System Behavior Detection across Complex Scenarios.
Proceedings of the 2016 IEEE Intl Conference on Computational Science and Engineering, 2016

Message from the NATA Organizing Committee.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

GPU-Aware Genetic Estimation of Hidden Markov Models for Workload Classification Problems.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

A Reference Architecture for Supporting Secure Big Data Analytics over Cloud-Enabled Relational Databases.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

Private databases on the cloud: Models, issues and research perspectives.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Clustering Geo-tagged Tweets for Advanced Big Data Analytics.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
Detecting overlapping communities in poly-relational networks.
World Wide Web, 2015

Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams.
Trans. Large Scale Data Knowl. Centered Syst., 2015

Design, implementation and validation of AI-inspired information systems.
J. Intell. Inf. Syst., 2015

Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering.
J. Intell. Inf. Syst., 2015

Advances in data warehousing and OLAP in the big Data Era.
Inf. Syst., 2015

Data warehousing and OLAP over Big Data: a survey of the state-of-the-art, open problems and future challenges.
Int. J. Bus. Process. Integr. Manag., 2015

Temporal Aspects of Big Data Management: State-of-the-Art Analysis and Future Research Directions.
Proceedings of the 22nd International Symposium on Temporal Representation and Reasoning, 2015

Aggregation and multidimensional analysis of big data for large-scale scientific applications: models, issues, analytics, and beyond.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Knowledge-Driven Digital Forensics.
Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Computing and Mining ClustCube Cubes Efficiently.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

A Multi-view Learning Approach to the Discovery of Deviant Process Instances.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Conferences, 2015

Towards Flexible Similarity Analysis of XML Data.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2015 Workshops, 2015

Knowledge Discovery from Geo-Located Tweets for Supporting Advanced Big Data Analytics: A Real-Life Experience.
Proceedings of the Model and Data Engineering - 5th International Conference, 2015

Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Edge-based Mining of Frequent Subgraphs from Graph Streams.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

Adaptive Stream Clustering Using Incremental Graph Maintenance.
Proceedings of the 4th International Workshop on Big Data, 2015

A Novel Information Fusion Approach for Supporting Shadow Detection in Dynamic Environments.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

OLAP-enabled web search of complex objects.
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

A GPU-Based Statistical Framework for Moving Object Segmentation: Implementation, Analysis and Applications.
Proceedings of the Internet and Distributed Computing Systems, 2015

A Classification-Based Algorithm for Building 3D Maps of Environmental Objects.
Proceedings of the 15th International Conference on Computational Science and Its Applications, 2015

Detecting Anomalies in Embedded Computing Systems via a Novel HMM-Based Machine Learning Approach.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Frequent Subgraph Mining from Streams of Linked Graph Structured Data.
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

Towards OLAP Analysis of Multidimensional Tweet Streams.
Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, 2015

Shadow Detection in Complex Environments via An Innovative Information Fusion Approach.
Proceedings of the 21st International Conference on Distributed Multimedia Systems, Vancouver, Canada, August 31, 2015

Distributed Classification of Data Streams: An Adaptive Technique.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

A collaborative framework for supporting combined visualization of activities across time zones.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

A Simulation Framework for Efficient Resource Management on Hybrid Systems.
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015

Coarse-grained workload categorization in virtual environments using the Dempster-Shafer fusion.
Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015

Spatio-temporal analysis of Greenhouse Gas data via clustering techniques.
Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design, 2015

Runtime Anomaly Detection in Embedded Systems by Binary Tracing and Hidden Markov Models.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

High-Recall Information Retrieval from Linked Big Data.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Provenance Research Issues and Challenges in the Big Data Era.
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015

Effective and Efficient Moving Object Segmentation via an Innovative Statistical Approach.
Proceedings of the Ninth International Conference on Complex, 2015

Automatic Learning for Supporting Advanced Human-Machine Interfaces.
Proceedings of the Ninth International Conference on Complex, 2015

Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Cloud-Based Machine Learning Tools for Enhanced Big Data Applications.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Frequent Subgraph Mining from Streams of Uncertain Data.
Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, 2015

Heterogeneous k-anonymization with high utility.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A distributed framework for supporting adaptive ensemble-based intrusion detection.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Privacy-Preserving Big Data Management: The Case of OLAP.
Proceedings of the Big Data - Algorithms, Analytics, and Applications., 2015

2014
A Global Paradigm for Designing Parallel Relational Data Warehouses in Distributed Environments.
Trans. Large Scale Data Knowl. Centered Syst., 2014

Processing and mining complex data streams.
Inf. Sci., 2014

Optimization issues of querying and evolving sensor and stream databases.
Inf. Syst., 2014

Models and Algorithms for High-Performance Data Management and Mining on Computational Grids and Clouds.
J. Grid Comput., 2014

Preface.
Fundam. Informaticae, 2014

A Decomposition Framework for Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data.
Fundam. Informaticae, 2014

Mining constrained frequent itemsets from distributed uncertain data.
Future Gener. Comput. Syst., 2014

Innovative methods and algorithms for advanced data-intensive computing.
Future Gener. Comput. Syst., 2014

Enhanced query processing for NoSQL crowdsourcing systems.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

A composite methodology for supporting collaboration pattern discovery via semantic enrichment and multidimensional analysis.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

Data-Driven Possible-Worlds Semantics for OLAP over Uncertain and Imprecise Multidimensional Data Streams.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Tree-based Distance Clustering over Distributed Database Objects.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014

A Comprehensive Theoretical Framework for Privacy Preserving Distributed OLAP.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2014 Workshops, 2014

A Patient-Centric Distributed Architecture for Electronic Health Record Systems.
Proceedings of the 17th International Conference on Network-Based Information Systems, 2014

StreamOp: An Innovative Middleware for Supporting Data Management and Query Functionalities over Sensor Network Streams Efficiently.
Proceedings of the 17th International Conference on Network-Based Information Systems, 2014

Big Data Mining or Turning Data Mining into Predictive Analytics from Large-Scale 3Vs Data: The Future Challenge for Knowledge Discovery.
Proceedings of the Model and Data Engineering - 4th International Conference, 2014

A Tree-based Algorithm for Mining Diverse Social Entities.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Effectively and Efficiently Mining Frequent Patterns from Dense Graph Streams on Disk.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

Enhancing Traditional Data Warehousing Architectures with Real-Time Capabilities.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Adaptive data stream mining for wireless sensor networks.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Interoperability of Security-Aware Web Service Business Processes: Case Studies and Empirical Evaluation.
Proceedings of the Internet and Distributed Computing Systems, 2014

An Effective and Efficient Middleware for Supporting Distributed Query Processing in Large-Scale Cyber-Physical Systems.
Proceedings of the Internet and Distributed Computing Systems, 2014

Modeling and Supporting ETL Processes via a Pattern-Oriented, Task-Reusable Framework.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms.
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014

Scalable Uncertainty-Tolerant Business Rules.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Theory-Inspired Optimizations for Privacy Preserving Distributed OLAP Algorithms.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Improved Recovery Management and Routing in W-Grid, a Distributed Infrastructure for Effective and Efficient Multidimensional Data Management over Wireless Ad-Hoc Sensor Networks.
Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2014

Mining of Diverse Social Entities from Linked Data.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Frequent Pattern Mining from Dense Graph Streams.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

A confidence-based entity resolution approach with incomplete information.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Big Graph Analytics: The State of the Art and Future Research Agenda.
Proceedings of the 17th International Workshop on Data Warehousing and OLAP, 2014

Real-Time Data Warehousing: A Rewrite/Merge Approach.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

A Pattern-Oriented Approach for Supporting ETL Conceptual Modelling and Its YAWL-based Implementation.
Proceedings of the DATA 2014, 2014

SLEMAS: An Approach for Selecting Materialized Views Under Query Scheduling Constraints.
Proceedings of the 20th International Conference on Management of Data, 2014

Privacy and Security of Big Data: Current Challenges and Future Research Perspectives.
Proceedings of the First International Workshop on Privacy and Secuirty of Big Data, 2014

PSBD 2014: Overview of the 1st International Workshop on Privacy and Security of Big Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Skyline Query Processing over Encrypted Data: An Attribute-Order-Preserving-Free Approach.
Proceedings of the First International Workshop on Privacy and Secuirty of Big Data, 2014

A Cloud-Based Framework for Supporting Effective and Efficient OLAP in Big Data Environments.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

A Framework for Supporting the Distributed Management of Big Clinical Data.
Proceedings of the 9th International Conference on Body Area Networks, 2014

Efficient Frequent Itemset Mining from Dense Data Streams.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
A Theoretically-Sound Approach for OLAPing Uncertain and Imprecise Multidimensional Data Streams.
Proceedings of the Advances in Probabilistic Databases for Uncertain Information Management, 2013

Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models.
Trans. Large Scale Data Knowl. Centered Syst., 2013

Models and algorithms for high-performance distributed data mining.
J. Parallel Distributed Comput., 2013

An effective and efficient parallel approach for random graph generation over GPUs.
J. Parallel Distributed Comput., 2013

An Envisioned Approach for Modeling and Supporting User-Centric Query Activities on Data Warehouses.
Int. J. Data Warehous. Min., 2013

Theoretical and practical aspects of warehousing, querying and mining sensor and streaming data.
J. Comput. Syst. Sci., 2013

A novel distributed framework for optimizing query routing trees in wireless sensor networks via optimal operator placement.
J. Comput. Syst. Sci., 2013

Advances in Managing, Updating and Querying Uncertain and Imprecise Sensor and Stream Databases.
Inf. Syst., 2013

Advances in parallel, distributed, embedded, and ubiquitous systems.
Concurr. Comput. Pract. Exp., 2013

Exploiting compression and approximation paradigms for effective and efficient online analytical processing over sensor network readings in data grid environments.
Concurr. Comput. Pract. Exp., 2013

Community Detection in Multi-relational Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Effectively and efficiently supporting crowd-enabled databases via NoSQL paradigms.
Proceedings of the 3RD International Workshop on Semantic Search over the Web, 2013

An Information-Theoretic Approach for Setting the Optimal Number of Decision Trees in Random Forests.
Proceedings of the IEEE International Conference on Systems, 2013

Data Compression Techniques and Algorithms for Effectively and Efficiently Managing Multidimensional Stream Cubes over Grids.
Proceedings of the Ninth International Conference on Semantics, Knowledge and Grids, 2013

An Integrated Approach for Answering Range Queries over Incomplete Spatial Databases Efficiently.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

A Semantic-based Framework for Supporting Interaction and Cooperation in Content-Based Web3.0 Applications.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Stream mining of frequent sets with limited memory.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Horizontal partitioning of very-large data warehouses under dynamically-changing query workloads via incremental algorithms.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data.
Proceedings of the Model and Data Engineering - Third International Conference, 2013

Parallel Coordinates Technique in Visual Data Mining: Advantages, Disadvantages and Combinations.
Proceedings of the 17th International Conference on Information Visualisation, 2013

Big data: a research agenda.
Proceedings of the 17th International Database Engineering & Applications Symposium, 2013

<i>DynamicNet</i>: an effective and efficient algorithm for supporting community evolution detection in time-evolving information networks.
Proceedings of the 17th International Database Engineering & Applications Symposium, 2013

Comparative Analysis of State-of-the-Art Spatial Data Warehouse Meta-models - Catching the Expressive Power of SDW Schemas!.
Proceedings of the ICEIS 2013, 2013

Incremental Algorithms for Selecting Horizontal Schemas of Data Warehouses: The Dynamic Case.
Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2013

Community evolution detection in time-evolving information networks.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Omniscience dans la Conception des Entrepôts de Données Parallèles sur un Cluster.
Proceedings of the Actes des 9èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2013

Data warehousing and OLAP over big data: current challenges and future research directions.
Proceedings of the sixteenth international workshop on Data warehousing and OLAP, 2013

Approximate OLAP Query Processing over Uncertain and Imprecise Multidimensional Data Streams.
Proceedings of the Database and Expert Systems Applications, 2013

Further Theoretical Contributions to a Privacy Preserving Distributed OLAP Framework.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Analytics over Big Data: Exploring the Convergence of DataWarehousing, OLAP and Data-Intensive Cloud Infrastructures.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

AutoMDB: A Framework for Automated Multidimensional Database Design via Schema Transformation.
Proceedings of the 19th International Conference on Management of Data, 2013

Multidimensional Database Design via Schema Transformation: Turning TPC-H into the TPC-H*d Multidimensional Benchmark.
Proceedings of the 19th International Conference on Management of Data, 2013

DOLAP 2013 workshop summary.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Managing Data and Processes in Cloud-Enabled Large-Scale Sensor Networks: State-of-the-Art and Future Research Directions.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

Implementing BFS-based Traversals of RDF Graphs over MapReduce Efficiently.
Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

Energy Efficiency in W-Grid Data-Centric Sensor Networks via Workload Balancing.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Designing Parallel Relational Data Warehouses: A Global, Comprehensive Approach.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Edge betweenness centrality: A novel algorithm for QoS-based topology control over wireless sensor networks.
J. Netw. Comput. Appl., 2012

Intelligent algorithms for data-centric sensor networks.
J. Netw. Comput. Appl., 2012

Effectively and Efficiently Designing and Querying Parallel Relational Data Warehouses on Heterogeneous Database Clusters: The F&A Approach.
J. Database Manag., 2012

Intelligent knowledge-based models and methodologies for complex information systems.
Inf. Sci., 2012

Introduction to special issue: ICISA 2010.
Clust. Comput., 2012

Improving Flexibility of Workflow Management Systems via a Policy-enhanced Collaborative Framework.
Proceedings of the WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18, 2012

Searching semantic data warehouses: models, issues, architectures.
Proceedings of the 2nd International Workshop on Semantic Search over the Web, 2012

Managing Uncertainty in Databases and Scaling It Up to Concurrent Transactions.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

A reachability-based theoretical framework for modeling and querying complex probabilistic graph data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Integrating Clustering Techniques and OLAP Methodologies: The ClustCube Approach.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

Frequent Itemset Mining of Distributed Uncertain Data under User-Defined Constraints.
Proceedings of the Twentieth Italian Symposium on Advanced Database Systems, 2012

A Theoretically-Sound Accuracy/Privacy-Constrained Framework for Computing Privacy Preserving Data Cubes in OLAP Environments.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2012, 2012

Effective Detection of XML Outliers.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Modeling and Managing Uncertainty in Concurrent Database Transactions.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Vertical Frequent Pattern Mining from Uncertain Data.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Efficiently Compressing OLAP Data Cubes via R-Tree Based Recursive Partitions.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Polynomial Asymptotic Complexity of Multiple-Objective OLAP Data Cube Compression.
Proceedings of the Advances on Computational Intelligence, 2012

Data Science and Distributed Intelligence: Recent Developments and Future Insights.
Proceedings of the Intelligent Distributed Computing VI - Proceedings of the 6th International Symposium on Intelligent Distributed Computing, 2012

Deploying Mobile Software Agents for Distributed Data Mining on Wireless Sensor Networks: A Comparative Analysis.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Non-linear Data Stream Compression: Foundations and Theoretical Results.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

A Bigtable/MapReduce-Based Cloud Infrastructure for Effectively and Efficiently Managing Large-Scale Sensor Networks.
Proceedings of the Data Management in Cloud, Grid and P2P Systems, 2012

Uncertain OLAP over Multidimensional Data Streams: State-of-the-Art Analysis and Research Perspectives.
Proceedings of the Future Generation Information Technology - 4th International Conference, 2012

Probabilistic pattern queries over complex probabilistic graphs.
Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

Towards a theory for privacy preserving distributed OLAP.
Proceedings of the 2012 Joint EDBT/ICDT Workshops, Berlin, Germany, March 30, 2012, 2012

Enhanced clustering of complex database objects in the clustcube framework.
Proceedings of the DOLAP 2012, 2012

Enhancing Coverage and Expressive Power of Spatial Data Warehousing Modeling: The SDWM Approach.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

The F&A Methodology and Its Experimental Validation on a Real-Life Parallel Processing Database System.
Proceedings of the Sixth International Conference on Complex, 2012

On Managing Very Large Sensor-Network Data Using Bigtable.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

SDWM: An Enhanced Spatial Data Warehouse Metamodel.
Proceedings of the CAiSE'12 Forum at the 24<sup>th</sup> International Conference on Advanced Information Systems Engineering (CAiSE), 2012

Enforcing Interaction and Cooperation in Content-Based Web3.0 Applications.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

Approximation Algorithms for Massive High-Rate Data Streams.
Proceedings of the New Trends in Databases and Information Systems, 2012

2011
Data De-duplication: A Review.
Proceedings of the Learning Structure and Schemas from Documents, 2011

Data warehousing and knowledge discovery from sensors and streams.
Knowl. Inf. Syst., 2011

Distributed XML Processing and Management: Theory and Practice.
J. Comput. Syst. Sci., 2011

Privacy Preserving OLAP over Distributed XML Data: A Theoretically-Sound Secure-Multiparty-Computation Approach.
J. Comput. Syst. Sci., 2011

Model-driven data mining engineering: from solution-driven implementations to 'composable' conceptual data mining models.
Int. J. Data Min. Model. Manag., 2011

Enhancing accuracy and expressive power of range query answers over incomplete spatial databases via a novel reasoning approach.
Data Knowl. Eng., 2011

Pushing artificial intelligence in database and data warehouse systems.
Data Knowl. Eng., 2011

A framework for modeling and supporting data transformation services over data and knowledge grids with real-time bound constraints.
Concurr. Comput. Pract. Exp., 2011

Retrieving Accurate Estimates to OLAP Queries over Uncertain and Imprecise Multidimensional Data Streams.
Proceedings of the Scientific and Statistical Database Management, 2011

Detecting Health Events on the Social Web to Enable Epidemic Intelligence.
Proceedings of the String Processing and Information Retrieval, 2011

Discovering semantic Web services via advanced graph-based matching.
Proceedings of the IEEE International Conference on Systems, 2011

Computing Privacy Preserving OLAP Aggregations on Data Cubes: A Constraint-Based Approach .
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

Computing Multidimensional OLAP Data Cubes over Probabilistic Relational Data: A Decomposition Approach.
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering.
Proceedings of the Sistemi Evoluti per Basi di Dati, 2011

ClustCube: an OLAP-based framework for clustering and mining complex database objects.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Privacy preserving OLAP: Models, issues, algorithms.
Proceedings of the MIPRO, 2011

Hand-OLAP: Semantics-Aware Compression of Data Cubes for Effective and Efficient OLAP in Mobile Enviroments.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

Non-separable Transforms for Clustering Trajectories.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

OLAP over Continuous Domains via Density-Based Hierarchical Clustering.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

A family of graph-theory-driven algorithms for managing complex probabilistic graph data efficiently.
Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS 2011), September 21, 2011

A UML-extended Approach for Mining OLAP Data Cubes in Complex Knowledge Discovery Environments.
Proceedings of the ICEIS 2011, 2011

Distributed Mining of Constrained Frequent Sets from Uncertain Data.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2011

Verification of Partitioning and Allocation Techniques on Teradata DBMS.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2011

CAD: An Efficient Data Management and Migration Scheme across Clouds for Data-Intensive Scientific Applications.
Proceedings of the Data Management in Grid and Peer-to-Peer Systems, 2011

A flexible graph-based approach for matching composite semantic web services.
Proceedings of the 2011 EDBT/ICDT Workshop on Linked Web Data Management, 2011

Analytics over large-scale multidimensional data: the big data revolution!
Proceedings of the DOLAP 2011, 2011

Record Linkage in Data Warehousing: State-of-the-Art Analysis and Research Perspectives.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

Graph-Based Matching of Composite OWL-S Services.
Proceedings of the Database Systems for Adanced Applications, 2011

On Improvement of Cloud Virtual Machine Availability with Virtualization Fault Tolerance Mechanism.
Proceedings of the IEEE 3rd International Conference on Cloud Computing Technology and Science, 2011

DOLAP 2011: overview of the 14th international workshop on data warehousing and olap.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

A Constraint-Based Framework for Computing Privacy Preserving OLAP Aggregations on Data Cubes.
Proceedings of the ADBIS 2011, 2011

2010
LSA-Based Compression of Data Cubes for Efficient Approximate Range-SUM Query Answering in OLAP.
Proceedings of the Advances in Intelligent Information Systems, 2010

A top-down approach for compressing data cubes under the simultaneous evaluation of multiple hierarchical range queries.
J. Intell. Inf. Syst., 2010

Event-based lossy compression for effective and efficient OLAP over data streams.
Data Knowl. Eng., 2010

Advanced knowledge-based systems.
Data Knowl. Eng., 2010

Integrating Semantics within Compressed OLAP Views in the Hand-OLAP System (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

Computing OLAP Aggregates over Multidimensional Data Streams Efficiently (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

A secure multiparty computation privacy preserving OLAP framework over distributed XML data.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Inheriting Access Control Rules from Large Relational Databases to Materialized Views Automatically.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Effectively and efficiently selecting access control rules on materialized views over relational databases.
Proceedings of the Fourteenth International Database Engineering and Applications Symposium (IDEAS 2010), 2010

Optimizing Query Routing Trees in Wireless Sensor Networks.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

A Process-driven Methodology for Modeling Service-oriented Complex Information Systems.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 3, ISAS, Funchal, Madeira, Portugal, June 8, 2010

Effective Analysis of Flexible Collaboration Processes by Way of Abstraction and Mining Techniques.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

Query Optimization over Parallel Relational Data Warehouses in Distributed Environments by Simultaneous Fragmentation and Allocation.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010

OLAP Data Cube Compression Techniques: A Ten-Year-Long History.
Proceedings of the Future Generation Information Technology, 2010

Balancing accuracy and privacy of OLAP aggregations on data cubes.
Proceedings of the DOLAP 2010, 2010

OLAP Over Uncertain and Imprecise Data: Fundamental Issues and Novel Research Perspectives.
Proceedings of the Database and Expert Systems Applications, 2010

<i>F</i>&<i>A</i>: A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

Efficiently Computing and Querying Multidimensional OLAP Data Cubes over Probabilistic Relational Data.
Proceedings of the Advances in Databases and Information Systems, 2010

2009
Pushing Theoretically-Founded Probabilistic Guarantees in.
Proceedings of the New Trends in Data Warehousing and Data Analysis, 2009

OLAP Visualization.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

View Selection in DW and OLAP.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Privacy Preserving OLAP and OLAP Security.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Data Cube Compression Techniques.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Enabling OLAP in mobile environments via intelligent data cube compression techniques.
J. Intell. Inf. Syst., 2009

Fragmenting very large XML data warehouses via K-means clustering algorithm.
Int. J. Bus. Intell. Data Min., 2009

Histogram-based Compression of Massive High-Dimensional OLAP Data Cubes.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Privacy Preserving OLAP by Sampling.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

EBC: A Topology Control Algorithm for Achieving High QoS in Sensor Networks.
Proceedings of the Quality of Service in Heterogeneous Networks, 2009

I-SQE: A Query Engine for Answering Range Queries over Incomplete Spatial Databases.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Delivering Semantics-aware Compressed OLAP Views in Mobile Environments with Hand-OLAP.
Proceedings of the ICTAI 2009, 2009

Clustering Relational Data: A Transactional Approach.
Proceedings of the ICTAI 2009, 2009

Privacy Preserving OLAP over Distributed XML Documents.
Proceedings of the ICPPW 2009, 2009

s-OLAP: Approximate OLAP Query Evaluation on Very Large Data Warehouses via Dimensionality Reduction and Probabilistic Synopses.
Proceedings of the Enterprise Information Systems, 11th International Conference, 2009

Reasoning on Incompleteness of Spatial Information for Effectively and Efficiently Answering Range Queries over Incomplete Spatial Databases.
Proceedings of the Flexible Query Answering Systems, 8th International Conference, 2009

<i>LCS</i>-Hist: taming massive high-dimensional data cube compression.
Proceedings of the EDBT 2009, 2009

Cubing Algorithms for XML Data.
Proceedings of the Database and Expert Systems Applications, 2009

CAMS: OLAPing Multidimensional Data Streams Efficiently.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

Histogram-Based Compression of Databases and Data Cubes.
Proceedings of the Database Technologies: Concepts, 2009

Modeling and Querying XMLBased P2P Information Systems.
Proceedings of the Semantic Web for Knowledge and Data Management, 2009

2008
Compressing Data Cubes in the Presence of Simultaneous Multiple OLAP Queries.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Efficiently Computing Iceberg Cubes: A Probabilistic Approach.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Data Transformation Services over Grids with Real-Time Bound Constraints.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008

Event-Based Compression and Mining of Data Streams.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Top-Down Compression of Data Cubes in the Presence of Simultaneous Multiple Hierarchical Range Queries.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

H-IQTS: a semantics-aware histogram for compressing categorical OLAP data.
Proceedings of the 12th International Database Engineering and Applications Symposium (IDEAS 2008), 2008

A Process-Driven Methodology for Continuous Information Systems Modeling.
Proceedings of the ICEIS 2008, 2008

Experimenting the Query Performance of a Grid-Based Sensor Network Data Warehouse.
Proceedings of the Data Management in Grid and Peer-to-Peer Systems, 2008

High-Performance Data Management and Efficient Aggregate Query Answering on Environmental Sensor Networks by Computational Grids.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

A Probabilistic Approach for Computing Approximate Iceberg Cubes.
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008

A Robust Sampling-Based Framework for Privacy Preserving OLAP.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Towards Real-Time Data Transformation Services over Grids.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

Multiple-Objective Compression of Data Cubes in Cooperative OLAP Environments.
Proceedings of the Advances in Databases and Information Systems, 2008

2007
Approximate range-sum query answering on data cubes with probabilistic guarantees.
J. Intell. Inf. Syst., 2007

Semantics-Aware Advanced OLAP Visualization of Multidimensional Data Cubes.
Int. J. Data Warehous. Min., 2007

Querying Unstructured and Structured Peer-to-Peer Networks: Models, Issues, Algorithms.
J. Digit. Inf. Manag., 2007

Advances in Querying Non-Conventional Data Sources.
J. Digit. Inf. Manag., 2007

Advanced OLAP Visualization of Multidimensional Data Cubes: A Semantics-Driven Compression Approach.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

A Query-Strategy-Focused Taxonomy and a Customizable Benchmarking Framework for Peer-to-Peer Information Retrieval Techniques.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Grid-VirtuE: A Layered Architecture for Grid Virtual Enterprises.
Proceedings of the Research and Practical Issues of Enterprise Information Systems II, 2007

MRE-KDD+: A Multi-Resolution, Ensemble-Based Model for Advanced Knolwedge Discovery.
Proceedings of the ICEIS 2007, 2007

X<i>l</i>PPX: A Lightweight Framework for Privacy Preserving P2P XML Databases in Very Large Publish-Subscribe Systems.
Proceedings of the E-Commerce and Web Technologies, 8th International Conference, 2007

Synopsis Data Structures for XML Databases: Models, Issues, and Research Perspectives.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Efficient Fragmentation of Large XML Documents.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007

An OLAM-Based Framework for Complex Knowledge Pattern Discovery in Distributed-and-Heterogeneous-Data-Sources and Cooperative Information Systems.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

2006
Combining multidimensional user models and knowledge representation and management techniques for making web services knowledge-aware.
Web Intell. Agent Syst., 2006

Improving range-sum query evaluation on data cubes via polynomial approximation.
Data Knowl. Eng., 2006

Storing and retrieving XPath fragments in structured P2P networks.
Data Knowl. Eng., 2006

Accuracy Control in Compressed Multidimensional Data Cubes for Quality of Answer-based OLAP Tools.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Efficiently Representing and Querying Sensor Network Readings on Data Grids.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

An accuracy-aware compression technique for multidimensional data cubes.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Towards a Lightweight Framework for Privacy Preserving P2P XML Databases.
Proceedings of the Tenth International Database Engineering and Applications Symposium (IDEAS 2006), 2006

On Semantically-Augmented XML-Based P2P Information Systems.
Proceedings of the Flexible Query Answering Systems, 7th International Conference, 2006

A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

Fragmenting XML Documents via Structural Constraints.
Proceedings of the ADBIS 2006, 2006

2005
Models and algorithms for efficient representation and query answering on data cubes for pervasive computing.
PhD thesis, 2005

Towards a Semantics-Based Framework for KD- and IR-style Resource Querying on XML-Based P2P Information Systems.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

TP-Tree: a Query Workload-Adaptive Synopsis for Fast OLAP Applications.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

A Distributed System for Answering Range Queries on Sensor Network Data.
Proceedings of the 3rd IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2005 Workshops), 2005

Overcoming Limitations of Approximate Query Answering in OLAP.
Proceedings of the Ninth International Database Engineering and Applications Symposium (IDEAS 2005), 2005

Providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP.
Proceedings of the DOLAP 2005, 2005

2004
XPath lookup queries in P2P networks.
Proceedings of the Sixth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2004), 2004

Knowledge on the Web: Making Web Services Knowledge-Aware.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

An Analytical Approach for Providing Approximate Answers to Aggregate Queries on Bi-Dimensional OLAP Data Cubes.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

A Grid Framework for Approximate Aggregate Query Answering on Summarized Sensor Network Readings.
Proceedings of the On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops: OTM Confederated International Workshops and Posters, 2004

Distributed Knowledge Networks: Towards a New Paradigm for Delivering Knowledge.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Pushing Knowledge Management in Web Information Systems Engineering.
Proceedings of the 8th International Database Engineering and Applications Symposium (IDEAS 2004), 2004

Enriching Conceptual Modeling of XML-Aware Adaptive Web Systems with Object-Oriented Constructs and UML Diagrams.
Proceedings of the E-Commerce and Web Technologies, 5th International Conference, 2004

Analytical Synopses for Approximate Query Answering in OLAP Environments.
Proceedings of the Database and Expert Systems Applications, 15th International Conference, 2004

Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

2003
A Reference Architecture for Knowledge Management-Based Web Systems.
Proceedings of the 4th International Conference on Web Information Systems Engineering, 2003

Approximate Query Answering on Sensor Network Data Streams.
Proceedings of the Eleventh Italian Symposium on Advanced Database Systems, 2003

Hand-OLAP: A System for Delivering OLAP Services on Handheld Devices.
Proceedings of the 6th International Symposium on Autonomous Decentralized Systems (ISADS 2003), 2003

A Pruning Algorithm for Improving Web Resources Searching and Classification in Knowledge Management-Based Web Systems.
Proceedings of the IADIS International Conference WWW/Internet 2003, 2003

2002
Modeling Adaptive Hypermedia with an Object-Oriented Approach and XML.
Proceedings of the Second International Workshop on Web Dynamics, 2002

XAHM: an adaptive hypermedia model based on XML.
Proceedings of the 14th international conference on Software engineering and knowledge engineering, 2002

2001
A Probabilistic Adaptive Hypermedia System.
Proceedings of the 2001 International Symposium on Information Technology (ITCC 2001), 2001

A Probabilistic Approach to Model Adaptive Hypermedia Systems.
Proceedings of the First International Workshop on Web Dynamics, 2001

A Multidimensional Approach for Modelling and Supporting Adaptive Hypermedia Systems.
Proceedings of the Electronic Commerce and Web Technologies, 2001


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