Elena Baralis

Orcid: 0000-0001-9231-467X

According to our database1, Elena Baralis authored at least 211 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Towards Comprehensive Subgroup Performance Analysis in Speech Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

A Synthetic Benchmark to Explore Limitations of Localized Drift Detections.
CoRR, 2024

Detecting Interpretable Subgroup Drifts.
CoRR, 2024

KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.
CoRR, 2024

Voice Disorder Analysis: a Transformer-based Approach.
CoRR, 2024

A Contrastive Learning Approach to Mitigate Bias in Speech Models.
CoRR, 2024

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data.
CoRR, 2024

Ex(o)plain: Subgroup-Level Analysis of Exoplanet Atmospheric Parameters.
IEEE Access, 2024

Assessing Speech Model Performance: A Subgroup Perspective.
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Benchmarking Representations for Speech, Music, and Acoustic Events.
Proceedings of the IEEE International Conference on Acoustics, 2024

Leveraging Confidence Models for Identifying Challenging Data Subgroups in Speech Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Prioritizing Data Acquisition for end-to-end Speech Model Improvement.
Proceedings of the IEEE International Conference on Acoustics, 2024

Ainur: Harmonizing Speed and Quality in Deep Music Generation Through Lyrics-Audio Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2024

Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection.
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Speech Analysis of Language Varieties in Italy.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Towards an Explorable Conceptual Map of Large Language Models.
Proceedings of the Intelligent Information Systems, 2024

2023
Concept-based Explainable Artificial Intelligence: A Survey.
CoRR, 2023

Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning.
CoRR, 2023

PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

ITALIC: An Italian Intent Classification Dataset.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

On Computing Paradigms - Where Will Large Language Models Be Going.
Proceedings of the IEEE International Conference on Data Mining, 2023

A Hierarchical Approach to Anomalous Subgroup Discovery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Exploring Subgroup Performance in End-to-End Speech Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

ba휌tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

Late Fusion-based Distributed Multimodal Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022

Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case.
Comput. Ind., 2022

Semantic Image Collection Summarization With Frequent Subgraph Mining.
IEEE Access, 2022

Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers' Genders.
Proceedings of the MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 2022

How Much Attention Should we Pay to Mosquitoes?
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Legal Entity Disambiguation for Financial Crime Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

RECLAIM: Reverse Engineering Classification Metrics.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2022

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Additional Reviewer Assignment by Means of Weighted Association Rules.
IEEE Trans. Emerg. Top. Comput., 2021

Leveraging full-text article exploration for citation analysis.
Scientometrics, 2021

How Divergent Is Your Data?
Proc. VLDB Endow., 2021

Dissecting a data-driven prognostic pipeline: A powertrain use case.
Expert Syst. Appl., 2021

Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes.
Expert Syst. Appl., 2021

Identifying Biased Subgroups in Ranking and Classification.
CoRR, 2021

Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data.
Comput. Ind., 2021

Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Summarize Dates First: A Paradigm Shift in Timeline Summarization.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Double-Step deep learning framework to improve wildfire severity classification.
Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

Cross-lingual timeline summarization.
Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020
Exploiting pivot words to classify and summarize discourse facets of scientific papers.
Scientometrics, 2020

Effective video hyperlinking by means of enriched feature sets and monomodal query combinations.
Int. J. Multim. Inf. Retr., 2020

entity2rec: Property-specific knowledge graph embeddings for item recommendation.
Expert Syst. Appl., 2020

Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis.
Computing, 2020

Training ensembles of faceted classification models for quantitative stock trading.
Computing, 2020

Bring Your Own Data to X-PLAIN.
Proceedings of the 2020 International Conference on Management of Data, 2020

Leveraging the explainability of associative classifiers to support quantitative stock trading.
Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, 2020

Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

Evaluating espresso coffee quality by means of time-series feature engineering.
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 2020

DSLE: A Smart Platform for Designing Data Science Competitions.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis.
ACM Trans. Inf. Syst., 2019

Automating concept-drift detection by self-evaluating predictive model degradation.
CoRR, 2019

Recommending Personalized Summaries of Teaching Materials.
IEEE Access, 2019

Quantitative cryptocurrency trading: exploring the use of machine learning techniques.
Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Poli2Sum@CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models.
Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019

Explaining black box models by means of local rules.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Combining News Sentiment and Technical Analysis to Predict Stock Trend Reversal.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Tinderbook: Fall in Love with Culture.
Proceedings of the Semantic Web - 16th International Conference, 2019

Adaptive Hierarchical Clustering for Petrographic Image Analysis.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Transparently Mining Data from a Medium-voltage Distribution Network: A Prognostic-diagnostic Analysis.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Heterogeneous Industrial Vehicle Usage Predictions: A Real Case.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Exploring energy performance certificates through visualization.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Towards a real-time unsupervised estimation of predictive model degradation.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2019

Fast Self-Organizing Maps Training.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

PREMISES, a Scalable Data-Driven Service to Predict Alarms in Slowly-Degrading Multi-Cycle Industrial Processes.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

Detecting Anomalies in Image Classification by Means of Semantic Relationships.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018
Highlighter: Automatic Highlighting of Electronic Learning Documents.
IEEE Trans. Emerg. Top. Comput., 2018

Discovering cross-topic collaborations among researchers by exploiting weighted association rules.
Scientometrics, 2018

Translational Models for Item Recommendation.
Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

Knowledge Graph Embeddings with node2vec for Item Recommendation.
Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

An Empirical Comparison of Knowledge Graph Embeddings for Item Recommendation.
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), 2018

Mining Sensor Data for Predictive Maintenance in the Automotive Industry.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

A Density-based Preprocessing Technique to Scale Out Clustering.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Data Mining in Databases: Languages and Indices.
Proceedings of the A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years., 2018

2017
Scaling associative classification for very large datasets.
J. Big Data, 2017

Discovering profitable stocks for intraday trading.
Inf. Sci., 2017

Planning stock portfolios by means of weighted frequent itemsets.
Expert Syst. Appl., 2017

Frequent Itemsets Mining for Big Data: A Comparative Analysis.
Big Data Res., 2017

A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data.
Big Data Res., 2017

Eurecom-Polito at TRECVID 2017: Hyperlinking task.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017

Identifying Collaborations among Researchers: a pattern-based approach.
Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks.
Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Educational video services in universities: A systematic effectiveness analysis.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

Test-Driven Summarization: Combining Formative Assessment with Teaching Document Summarization.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Experimental Validation of a Massive Educational Service in a Blended Learning Environment.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

SQL versus NoSQL databases for geospatial applications.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
SeLINA: A Self-Learning Insightful Network Analyzer.
IEEE Trans. Netw. Serv. Manag., 2016

Learning From Summaries: Supporting e-Learning Activities by Means of Document Summarization.
IEEE Trans. Emerg. Top. Comput., 2016

MAGMA network behavior classifier for malware traffic.
Comput. Networks, 2016

Eurecom-Polito at TRECVID 2016: Hyperlinking Tasks.
Proceedings of the 2016 TREC Video Retrieval Evaluation, 2016

SaFe-NeC: A scalable and flexible system for network data characterization.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

Analyzing air pollution on the urban environment.
Proceedings of the 39th International Convention on Information and Communication Technology, 2016

Data mining for better healthcare: A path towards automated data analysis?
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

A spectral analysis of crimes in San Francisco.
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2016

Supporting stock trading in multiple foreign markets: a multilingual news summarization approach.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015
MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets.
ACM Trans. Inf. Syst., 2015

MeTA: Characterization of Medical Treatments at Different Abstraction Levels.
ACM Trans. Intell. Syst. Technol., 2015

YouLighter: A Cognitive Approach to Unveil YouTube CDN and Changes.
IEEE Trans. Cogn. Commun. Netw., 2015

Scalable out-of-core itemset mining.
Inf. Sci., 2015

Digging deep into weighted patient data through multiple-level patterns.
Inf. Sci., 2015

YouLighter: An Unsupervised Methodology to Unveil YouTube CDN Changes.
Proceedings of the 27th International Teletraffic Congress, 2015

PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Network Connectivity Graph for Malicious Traffic Dissection.
Proceedings of the 24th International Conference on Computer Communication and Networks, 2015

Enhancing Energy Awareness Through the Analysis of Thermal Energy Consumption.
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

Generation and Evaluation of Summaries of Academic Teaching Materials.
Proceedings of the 39th IEEE Annual Computer Software and Applications Conference, 2015

Macroscopic view of malware in home networks.
Proceedings of the 12th Annual IEEE Consumer Communications and Networking Conference, 2015

Predicting Cardiopulmonary Response to Incremental Exercise Test.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

PaWI: Parallel Weighted Itemset Mining by Means of MapReduce.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Energy Signature Analysis: Knowledge at Your Fingertips.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
SeLeCT: Self-Learning Classifier for Internet Traffic.
IEEE Trans. Netw. Serv. Manag., 2014

RIB: A Robust Itemset-based Bayesian approach to classification.
Knowl. Based Syst., 2014

Expressive generalized itemsets.
Inf. Sci., 2014

NEMICO: Mining Network Data through Cloud-Based Data Mining Techniques.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

MGI-Cloud: discovery of misleading generalized itemsets.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Misleading Generalized Itemset Mining in the Cloud.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

2013
EnBay: A Novel Pattern-Based Bayesian Classifier.
IEEE Trans. Knowl. Data Eng., 2013

Early prediction of the highest workload in incremental cardiopulmonary tests.
ACM Trans. Intell. Syst. Technol., 2013

GraphSum: Discovering correlations among multiple terms for graph-based summarization.
Inf. Sci., 2013

Multi-document summarization based on the Yago ontology.
Expert Syst. Appl., 2013

Analysis of diabetic patients through their examination history.
Expert Syst. Appl., 2013

NetCluster: A clustering-based framework to analyze internet passive measurements data.
Comput. Networks, 2013

SeaRum: A Cloud-Based Service for Association Rule Mining.
Proceedings of the 12th IEEE International Conference on Trust, 2013

Association Rule Mining as a Cloud-Based Service.
Proceedings of the 21st Italian Symposium on Advanced Database Systems, 2013

Analysis of Twitter Data Using a Multiple-level Clustering Strategy.
Proceedings of the Model and Data Engineering - Third International Conference, 2013

Self-learning classifier for Internet traffic.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

P-Mine: Parallel itemset mining on large datasets.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Frequent weighted itemset mining from gene expression data.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Generalized association rule mining with constraints.
Inf. Sci., 2012

I-prune: Item selection for associative classification.
Int. J. Intell. Syst., 2012

MaskedPainter: Feature selection for microarray data analysis.
Intell. Data Anal., 2012

Multi-document summarization exploiting frequent itemsets.
Proceedings of the ACM Symposium on Applied Computing, 2012

Hierarchical learning for fine grained internet traffic classification.
Proceedings of the 8th International Wireless Communications and Mobile Computing Conference, 2012

2011
CAS-Mine: providing personalized services in context-aware applications by means of generalized rules.
Knowl. Inf. Syst., 2011

Measuring gene similarity by means of the classification distance.
Knowl. Inf. Syst., 2011

Energy-saving models for wireless sensor networks.
Knowl. Inf. Syst., 2011

An Efficient Itemset Mining Approach for Data Streams.
Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

2010
Constrained itemset mining on a sequence of incoming data blocks.
Int. J. Intell. Syst., 2010

Compactly Storing Frequent Itemsets (Extended Abstract).
Proceedings of the Eighteenth Italian Symposium on Advanced Database Systems, 2010

A persistent HY-Tree to efficiently support itemset mining on large datasets.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Analysis of Medical Pathways by Means of Frequent Closed Sequences.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Array-Tree: A persistent data structure to compactly store frequent itemsets.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

Support driven opportunistic aggregation for generalized itemset extraction.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

Summarizing biological literature with BioSumm.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Predicting the highest workload in cardiopulmonary test.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009
Extraction of Constraints from Biological Data.
Proceedings of the Biomedical Data and Applications, 2009

IMine: Index Support for Item Set Mining.
IEEE Trans. Knowl. Data Eng., 2009

Real-Time Analysis of Physiological Data to Support Medical Applications.
IEEE Trans. Inf. Technol. Biomed., 2009

Characterizing network traffic by means of the NetMine framework.
Comput. Networks, 2009

Generalized Association Rules to Support Context-aware User and Service Profiling.
Proceedings of the Seventeenth Italian Symposium on Advanced Database Systems, 2009

Context-Aware User and Service Profiling by Means of Generalized Association Rules.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

NetCluster: A Clustering-Based Framework for Internet Tomography.
Proceedings of IEEE International Conference on Communications, 2009

2008
Compact Representations of Sequential Classification Rules.
Proceedings of the Data Mining: Foundations and Practice, 2008

Indexing Evolving Databases for Itemset Mining.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

Real-Time Individuation of Global Unsafe Anomalies and Alarm Activation.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

A Lazy Approach to Associative Classification.
IEEE Trans. Knowl. Data Eng., 2008

Applying sequential rules to protein localization prediction.
Comput. Math. Appl., 2008

Generalized association rules to support Network Digest analysis.
Proceedings of the Sixteenth Italian Symposium on Advanced Database Systems, 2008

Exploring Heterogeneous Biological Data Sources.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

BioSumm: A novel summarizer oriented to biological information.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Answering XML queries by means of data summaries.
ACM Trans. Inf. Syst., 2007

Topic 5 Parallel and Distributed Databases.
Proceedings of the Euro-Par 2007, 2007

Modeling a Sensor Network by means of Clustering.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

SAPhyRA: Stream Analysis for Physiological Risk Assessment.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

Gene-Markers Representation for Microarray Data Integration.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Data Cleaning and Semantic Improvement in Biological Databases.
J. Integr. Bioinform., 2006

Selecting Representatives in a Sensor Network.
Proceedings of the Fourteenth Italian Symposium on Advanced Database Systems, 2006

Associative text categorization exploiting negated words.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

2005
Index Support for Mining Data Streams in a Relational DBMS.
Proceedings of the Thirteenth Italian Symposium on Advanced Database Systems, 2005

Data mining techniques for effective and scalable traffic analysis.
Proceedings of the Integrated Network Management, 2005

Index Support for Frequent Itemset Mining in a Relational DBMS.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Essential classification rule sets.
ACM Trans. Database Syst., 2004

Answering Queries on XML Data by means of Association Rules.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

Frequent Itemset Mining in a Relational DBMS.
Proceedings of the Twelfth Italian Symposium on Advanced Database Systems, 2004

On support thresholds in associative classification.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

Summarizing XML Data by Means of Association Rules.
Proceedings of the Current Trends in Database Technology - EDBT 2004 Workshops, 2004

2003
Majority Classification by Means of Association Rules.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Towards Feasible Topology Formation Algorithms for Bluetooth-based WPANs.
Proceedings of the 36th Hawaii International Conference on System Sciences (HICSS-36 2003), 2003

Materialized Views in Multidimensional Databases.
Proceedings of the Multidimensional Databases: Problems and Solutions, 2003

2002
Accurate Classification by means of Association Rules.
Proceedings of the Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati, 2002

A Lazy Approach to Pruning Classification Rules.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2000
An algebraic approach to static analysis of active database rules.
ACM Trans. Database Syst., 2000

1999
Data Mining in Data Warehouses.
Proceedings of the Atti del Settimo Convegno Nazionale Sistemi Evoluti per Basi di Dati, 1999

Incremental Refinement of Mining Queries.
Proceedings of the Data Warehousing and Knowledge Discovery, 1999

Rule Analysis
Proceedings of the Active Rules in Database Systems, 1999

1998
Compile-Time and Runtime Analysis of Active Behaviors.
IEEE Trans. Knowl. Data Eng., 1998

Incremental Refinement of Association Rule Mining.
Proceedings of the Atti del Sesto Convegno Nazionale Sistemi Evolluti per Basi di Dati, 1998

1997
Debugging and Run-time Monitoring of Active Rules.
J. Syst. Integr., 1997

Designing Templates for Mining Association Rules.
J. Intell. Inf. Syst., 1997

Materialized Views Selection in a Multidimensional Database.
Proceedings of the VLDB'97, 1997

Amore: An Integrated Environment for Database Mining.
Proceedings of the Convegno Nazionale Sistemi Evolluti per Basi di Dati, 1997

Performance Evaluation of Rule Semantics in Active Databases.
Proceedings of the Thirteenth International Conference on Data Engineering, 1997

1996
Modularization Techniques for Active Rules Design.
ACM Trans. Database Syst., 1996

Support Environment for Active Rule Design.
J. Intell. Inf. Syst., 1996

Conservative Timestamp Revisited for Materialized View Maintenance in a Data Warehouse.
Proceedings of the Workshop on Materialized Views: Techniques and Applications, 1996

1995
Using Delta Relations to Optimize Condition Evaluation in Active Databases.
Proceedings of the Rules in Database Systems, Second International Workshop, 1995

Improving Rule Analysis by Means of Triggering and Activation Graphs.
Proceedings of the Rules in Database Systems, Second International Workshop, 1995

Design of Active Rule Applications: Issues and Approaches.
Proceedings of the Deductive and Object-Oriented Databases, 1995

Run-time Detection of Non-Terminating Active Rule Systems.
Proceedings of the Deductive and Object-Oriented Databases, 1995

1994
An Algebraic Approach to Rule Analysis in Expert Database Systems.
Proceedings of the VLDB'94, 1994

Declarative Specification of Constraint Maintenance.
Proceedings of the Entity-Relationship Approach, 1994

An Intelligent Database System Application: The Design of EMS.
Proceedings of the Applications of Databases, First International Conference, 1994

1993
Better Termination Analysis for Active Databases.
Proceedings of the Rules in Database Systems. Proceedings of the 1st International Workshop on Rules in Database Systems, Edinburgh, Scotland, 30 August, 1993


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