Jerry Chun-Wei Lin

Orcid: 0000-0001-8768-9709

Affiliations:
  • Western Norway University of Applied Sciences, Department of Computer Science, Bergen, Norway
  • Harbin Institute of Technology, Shenzhen, China


According to our database1, Jerry Chun-Wei Lin authored at least 635 papers between 2007 and 2025.

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Bibliography

2025
HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data.
Inf. Fusion, 2025

2024
An efficient approach for incremental erasable utility pattern mining from non-binary data.
Knowl. Inf. Syst., October, 2024

Heterogeneous Federated Learning for Non-IID Smartwatch Data Classification.
IEEE Internet Things J., September, 2024

NMal-Droid: network-based android malware detection system using transfer learning and CNN-BiGRU ensemble.
Wirel. Networks, August, 2024

Outage behavior of the downlink reconfigurable intelligent surfaces-aided cooperative non-orthogonal multiple access network over Nakagami-m fading channels.
Wirel. Networks, August, 2024

Deep Explainable Hate Speech Active Learning on Social-Media Data.
IEEE Trans. Comput. Soc. Syst., August, 2024

Multi-aspect detection and classification with multi-feed dynamic frame skipping in vehicle of internet things.
Wirel. Networks, July, 2024

HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Texture-guided CNN for image denoising.
Multim. Tools Appl., July, 2024

A Network-Aware Load Balancer Using Feedback Learning.
IEEE Consumer Electron. Mag., July, 2024

A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging.
IEEE J. Biomed. Health Informatics, June, 2024

Applied AI in Defect Detection for Additive Manufacturing: Current Literature, Metrics, Datasets, and Open Challenges.
IEEE Instrum. Meas. Mag., June, 2024

Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism.
Expert Syst. J. Knowl. Eng., June, 2024

TG-SPRED: Temporal Graph for Sensorial Data PREDiction.
ACM Trans. Sens. Networks, May, 2024

Graph Attention-Based Curriculum Learning for Mental Healthcare Classification.
IEEE J. Biomed. Health Informatics, May, 2024

Automatically Temporal Labeled Data Generation Using Positional Lexicon Expansion for Focus Time Estimation of News Articles.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2024

Analytics of deep model-based spatiotemporal and spatial feature learning methods for surgical action classification.
Multim. Tools Appl., May, 2024

Empirical evaluation of filter pruning methods for acceleration of convolutional neural network.
Multim. Tools Appl., May, 2024

Intelligent blockchain management for distributed knowledge graphs in IoT 5G environments.
Trans. Emerg. Telecommun. Technol., April, 2024

Secure itemset hiding in smart city sensor data.
Clust. Comput., April, 2024

Blockchain: Applications, Challenges, and Opportunities in Consumer Electronics.
IEEE Consumer Electron. Mag., March, 2024

An Efficient and Accurate GPU-based Deep Learning Model for Multimedia Recommendation.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets.
IEEE Trans. Knowl. Data Eng., February, 2024

Efficient approach of high average utility pattern mining with indexed list-based structure in dynamic environments.
Inf. Sci., February, 2024

Challenges and Outcomes Using Big Data as a Service.
Bus. Inf. Syst. Eng., February, 2024

Emotional Intelligence Attention Unsupervised Learning Using Lexicon Analysis for Irony-based Advertising.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2024

An algorithm for overlapping chromosome segmentation based on region selection.
Neural Comput. Appl., January, 2024

A descriptive human visual cognitive strategy using graph neural network for facial expression recognition.
Int. J. Mach. Learn. Cybern., January, 2024

AI-Based Electricity Grid Management for Sustainability, Reliability, and Security.
IEEE Consumer Electron. Mag., January, 2024

ML-DDoS: A Blockchain-Based Multilevel DDoS Mitigation Mechanism for IoT Environments.
IEEE Trans. Engineering Management, 2024

Automatic similarity feature selection for ontology matching with semantic sampling.
Knowl. Based Syst., 2024

A GNN-Based Adversarial Internet of Things Malware Detection Framework for Critical Infrastructure: Studying Gafgyt, Mirai, and Tsunami Campaigns.
IEEE Internet Things J., 2024

An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning.
Expert Syst. Appl., 2024

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic.
Digit. Commun. Networks, 2024

A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream Sequences.
CoRR, 2024

Human-free Prompted Based Anomaly Detection: prompt optimization with Meta-guiding prompt scheme.
CoRR, 2024

Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton.
CoRR, 2024

Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database.
IEEE Access, 2024

A Queueing System to Jobs Scheduling Problem in AGVs.
Proceedings of the 32nd Euromicro International Conference on Parallel, 2024

TripleS: A Subsidy-Supported Storage for Electricity with Self-financing Management System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Masked Face-Landmark Prediction with Mask-Coefficient.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

RECALL: Towards Generalized Representations in Unsupervised Federated Learning Under Non-IID Conditions.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023
Scalable and Efficient Approach for High Temporal Fuzzy Utility Pattern Mining.
IEEE Trans. Cybern., December, 2023

Advanced Pattern-Mining System for Fake News Analysis.
IEEE Trans. Comput. Soc. Syst., December, 2023

Introduction to the Special Section on Artificial Intelligence for Next Generation Industrial Cyber-Physical Systems.
IEEE Syst. J., December, 2023

A Deep Learning based Feature Entity Relationship Extraction Method for Telemedicine Sensing Big Data.
Mob. Networks Appl., December, 2023

Efficient approach for mining high-utility patterns on incremental databases with dynamic profits.
Knowl. Based Syst., December, 2023

An artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems.
J. Cloud Comput., December, 2023

Motion Context guided Edge-preserving network for video salient object detection.
Expert Syst. Appl., December, 2023

Special Section on "Advances in Cyber-Manufacturing: Architectures, Challenges, & Future Research Directions".
ACM Trans. Internet Techn., November, 2023

Exploring the Potential of Cyber Manufacturing System in the Digital Age.
ACM Trans. Internet Techn., November, 2023

Data Freshness Optimization Under CAA in the UAV-Aided MECN: A Potential Game Perspective.
IEEE Trans. Intell. Transp. Syst., November, 2023

A Secure Intelligent System for Internet of Vehicles: Case Study on Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., November, 2023

Future of wireless access technologies and frameworks for internet of things applications.
Trans. Emerg. Telecommun. Technol., November, 2023

An advanced approach for incremental flexible periodic pattern mining on time-series data.
Expert Syst. Appl., November, 2023

Abnormal nodes sensing model in regional wireless networks based on convolutional neural network.
Wirel. Networks, October, 2023

An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things.
Internet Things, October, 2023

An Approach to Semantic-Aware Heterogeneous Network Embedding for Recommender Systems.
IEEE Trans. Cybern., September, 2023

Graph Attention Network for Text Classification and Detection of Mental Disorder.
ACM Trans. Web, August, 2023

Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT.
ACM Trans. Sens. Networks, August, 2023

Intelligent Graph Convolutional Neural Network for Road Crack Detection.
IEEE Trans. Intell. Transp. Syst., August, 2023

Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention.
IEEE Trans. Comput. Soc. Syst., August, 2023

Semisupervised Federated Learning for Temporal News Hyperpatism Detection.
IEEE Trans. Comput. Soc. Syst., August, 2023

Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification.
IEEE Trans. Big Data, August, 2023

Adaptive particle swarm optimization model for resource leveling.
Evol. Syst., August, 2023

An evolutionary-based approach for optimising diverse group stock portfolio with active and inactive stocks.
Enterp. Inf. Syst., August, 2023

When explainable AI meets IoT applications for supervised learning.
Clust. Comput., August, 2023

A Multiobjective Intelligent Decision-Making Method for Multistage Placement of PMU in Power Grid Enterprises.
IEEE Trans. Ind. Informatics, June, 2023

Enhancing Stock Portfolios for Enterprise Management and Investment in Energy Industry.
IEEE Trans. Ind. Informatics, June, 2023

Discovering High Utility Episodes in Sequences.
IEEE Trans. Artif. Intell., June, 2023

Active Learning Based Adversary Evasion Attacks Defense for Malwares in the Internet of Things.
IEEE Syst. J., June, 2023

A graph-based CNN-LSTM stock price prediction algorithm with leading indicators.
Multim. Syst., June, 2023

Editorial for the Special Issue on Quality Assessment of Data Security.
ACM J. Data Inf. Qual., June, 2023

Mining Skyline Patterns from Big Data Environments based on a Spark Framework.
J. Grid Comput., June, 2023

Temporal positional lexicon expansion for federated learning based on hyperpatism detection.
Expert Syst. J. Knowl. Eng., June, 2023

A robust deformed convolutional neural network (CNN) for image denoising.
CAAI Trans. Intell. Technol., June, 2023

An efficient biobjective evolutionary algorithm for mining frequent and high utility itemsets.
Appl. Soft Comput., June, 2023

Towards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles.
ACM Trans. Sens. Networks, May, 2023

Editorial for the Special Issue on Computational Linguistics Processing in Low-Resource Indigenous Languages.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

Fast and Accurate Framework for Ontology Matching in Web of Things.
ACM Trans. Asian Low Resour. Lang. Inf. Process., May, 2023

CA-MLBS: content-aware machine learning based load balancing scheduler in the cloud environment.
Expert Syst. J. Knowl. Eng., May, 2023

Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network.
Eng. Appl. Artif. Intell., May, 2023

Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas.
IEEE Trans. Intell. Transp. Syst., April, 2023

Guest Editorial Introduction to the Special Issue on AI-Empowered Trajectory Analytics in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., April, 2023

Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption.
IEEE J. Biomed. Health Informatics, April, 2023

Multivariate time-series sensor vital sign forecasting of cardiovascular and chronic respiratory diseases.
Sustain. Comput. Informatics Syst., April, 2023

Energy Aware Load Balancing Framework for Smart Grid Using Cloud and Fog Computing.
Sensors, April, 2023

Droid-MCFG: Android malware detection system using manifest and control flow traces with multi-head temporal convolutional network.
Phys. Commun., April, 2023

Federated Learning for improved prediction of failures in Autonomous Guided Vehicles.
J. Comput. Sci., April, 2023

AF-GCN: Completing various graph tasks efficiently via adaptive quadratic frequency response function in graph spectral domain.
Inf. Sci., April, 2023

Interpretable intrusion detection for next generation of Internet of Things.
Comput. Commun., April, 2023

Group intrusion detection in the Internet of Things using a hybrid recurrent neural network.
Clust. Comput., April, 2023

Energy grid management system with anomaly detection and Q-learning decision modules.
Comput. Electr. Eng., April, 2023

Editorial note of the special issue on emerging topics in artificial intelligence selected from IEA/AIE2021.
Appl. Intell., April, 2023

Federated deep active learning for attention-based transaction classification.
Appl. Intell., April, 2023

Overcoming Smart City Barriers Using Multi-Modal Interpretive Structural Modeling.
J. Signal Process. Syst., March, 2023

Introduction to the Special Issue of Recent Advances in Computational Linguistics for Asian Languages.
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023

An efficient utility-list based high-utility itemset mining algorithm.
Appl. Intell., March, 2023

Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems.
IEEE Trans. Intell. Transp. Syst., February, 2023

Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection.
IEEE J. Biomed. Health Informatics, February, 2023

Deep Fuzzy Contrast-Set Deviation Point Representation and Trajectory Detection.
IEEE Trans. Fuzzy Syst., February, 2023

Emergent Deep Learning for Anomaly Detection in Internet of Everything.
IEEE Internet Things J., February, 2023

Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things.
IEEE Internet Things J., February, 2023

Evolutionary Trading Signal Prediction Model Optimization Based on Chinese News and Technical Indicators in the Internet of Things.
IEEE Internet Things J., February, 2023

Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., January, 2023

Special issue editorial on energy-aware machine learning, cybernetics, and cognition for communication technologies.
Sustain. Comput. Informatics Syst., January, 2023

Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques.
J. Circuits Syst. Comput., January, 2023

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder.
ACM Trans. Multim. Comput. Commun. Appl., 2023

RThreatDroid: A Ransomware Detection Approach to Secure IoT Based Healthcare Systems.
IEEE Trans. Netw. Sci. Eng., 2023

Multiobjective Evolutionary Model of the Construction Industry Based on Network Planning.
IEEE Trans. Ind. Informatics, 2023

Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2023

Stock Selection System Through Suitability Index and Fuzzy-Based Quantitative Characteristics.
IEEE Trans. Fuzzy Syst., 2023

A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics.
IEEE Trans. Consumer Electron., 2023

Intercell Interference Coordination for UAV Enabled URLLC With Perfect/Imperfect CSI Using Cognitive Radio.
IEEE Open J. Commun. Soc., 2023

Pre-large based high utility pattern mining for transaction insertions in incremental database.
Knowl. Based Syst., 2023

Design of delay compensation algorithm in remote auction network for digital art works.
J. High Speed Networks, 2023

Blockchain-based federated learning with checksums to increase security in Internet of Things solutions.
J. Ambient Intell. Humaniz. Comput., 2023

A Privacy-Preserving Internet of Things Smart Healthcare Financial System.
IEEE Internet Things J., 2023

Preserving Privacy in Internet of Vehicles (IoV): A Novel Group-Leader-Based Shadowing Scheme Using Blockchain.
IEEE Internet Things J., 2023

A typology of secure multicast communication over 5 G/6 G networks.
Int. J. Inf. Sec., 2023

An Efficient Bet-GCN Approach for Link Prediction.
Int. J. Interact. Multim. Artif. Intell., 2023

Mining skyline frequent-utility patterns from big data environment based on MapReduce framework.
Intell. Data Anal., 2023

Federated deep learning for smart city edge-based applications.
Future Gener. Comput. Syst., 2023

Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting.
Future Gener. Comput. Syst., 2023

An air quality prediction model based on improved <i>Vanilla</i> LSTM with multichannel input and multiroute output.
Expert Syst. Appl., 2023

A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop.
Complex Syst. Model. Simul., 2023

Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure.
IEEE Access, 2023

Anomaly Detection Networks and Fuzzy Control Modules for Energy Grid Management with Q-Learning-Based Decision Making.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Updating Top-k Dominate Individuals with Incomplete Data Addition.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment.
Proceedings of the Computational Science - ICCS 2023, 2023

Decentralized Federated Learning Loop with Constrained Trust Mechanism.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

Fuzzy Electricity Management System with Anomaly Detection and Fuzzy Q-Learning.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Nucleus Segmentation Using Adaptive Thresholding for Analysis of Blood and Bone Marrow Smear Images.
Proceedings of the Intelligent Data Engineering and Analytics, 2023

Incremental Targeted Mining in Sequences.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Cognitive Health Assessment of Decentralized Smart home Activities using Federated Learning.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Explainability of Leverage Points Exploration for Customer Churn Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023

Large Language Models in Education: Vision and Opportunities.
Proceedings of the IEEE International Conference on Big Data, 2023

The Calibration of Single Beam Distance Sensors based on Machine Learning Methods.
Proceedings of the IEEE International Conference on Big Data, 2023

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Heterogeneous Energy-aware Load Balancing for Industry 4.0 and IoT Environments.
ACM Trans. Manag. Inf. Syst., December, 2022

Digital Image Feature Recognition Method of Mobile Platform Based on Machine Learning.
Mob. Networks Appl., December, 2022

Research on Standardized Feature Positioning Technology of Motion Amplitude Based on Intelligent Vision.
Mob. Networks Appl., December, 2022

Graph embedding-based intelligent industrial decision for complex sewage treatment processes.
Int. J. Intell. Syst., December, 2022

Introduction to the Special Section on Edge Computing AI-IoT Integrated Energy Efficient Intelligent Transportation System for Smart Cities.
ACM Trans. Internet Techn., November, 2022

Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment.
ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

A Stock Trading Expert System Established by the CNN-GA-Based Collaborative System.
Int. J. Data Warehous. Min., January, 2022

Traffic Classification in Underwater Networks Using SDN and Data-Driven Hybrid Metaheuristics.
ACM Trans. Sens. Networks, 2022

Deep Learning-Embedded Social Internet of Things for Ambiguity-Aware Social Recommendations.
IEEE Trans. Netw. Sci. Eng., 2022

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part II.
ACM Trans. Manag. Inf. Syst., 2022

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1.
ACM Trans. Manag. Inf. Syst., 2022

Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model.
ACM Trans. Knowl. Discov. Data, 2022

Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space-Air-Ground Integrated Intelligent Transportation System.
IEEE Trans. Intell. Transp. Syst., 2022

Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads.
IEEE Trans. Intell. Transp. Syst., 2022

Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics.
IEEE Trans. Intell. Transp. Syst., 2022

Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Secure Collaborative Augmented Reality Framework for Biomedical Informatics.
IEEE J. Biomed. Health Informatics, 2022

Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading.
IEEE Trans. Fuzzy Syst., 2022

Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems.
IEEE Trans. Fuzzy Syst., 2022

Security and Privacy in Shared HitLCPS Using a GA-Based Multiple-Threshold Sanitization Model.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Deep Learning Versus Traditional Solutions for Group Trajectory Outliers.
IEEE Trans. Cybern., 2022

Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews.
IEEE Trans. Comput. Soc. Syst., 2022

Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis.
IEEE Trans. Comput. Soc. Syst., 2022

Call Auction-Based Energy Management System with Adaptive Subsidy and Dynamic Operating Reserve.
Sustain. Comput. Informatics Syst., 2022

A ML-based resource utilization OpenCL GPU-kernel fusion model.
Sustain. Comput. Informatics Syst., 2022

Task-specific image summaries using semantic information and self-supervision.
Soft Comput., 2022

Unit test system of online English course based on SSH Framework.
EAI Endorsed Trans. Scalable Inf. Syst., 2022

Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation.
Sensors, 2022

Privacy Preserving Multi-Party Key Exchange Protocol for Wireless Mesh Networks.
Sensors, 2022

Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review.
Sensors, 2022

Reconfigurable Intelligent Surface-Aided Cooperative NOMA with p-CSI Fading Channel toward 6G-Based IoT System.
Sensors, 2022

An Implementation of Trust Chain Framework with Hierarchical Content Identifier Mechanism by Using Blockchain Technology.
Sensors, 2022

Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization.
Sensors, 2022

Transformer-based Cross Reference Network for video salient object detection.
Pattern Recognit. Lett., 2022

Vehicle detection using improved region convolution neural network for accident prevention in smart roads.
Pattern Recognit. Lett., 2022

Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health.
Pattern Recognit. Lett., 2022

A cluster-based barrier construction algorithm in mobile Wireless Sensor Networks.
Phys. Commun., 2022

A high-performance, hardware-based deep learning system for disease diagnosis.
PeerJ Comput. Sci., 2022

On the evaluation of android malware detectors against code-obfuscation techniques.
PeerJ Comput. Sci., 2022

Mitigating adversarial evasion attacks by deep active learning for medical image classification.
Multim. Tools Appl., 2022

Design of Distance Assistance System for Intelligent Education by Web-based Applications.
Mob. Networks Appl., 2022

A Target Recognition Algorithm of Multi-Source Remote Sensing Image Based on Visual Internet of Things.
Mob. Networks Appl., 2022

Efficient approach of sliding window-based high average-utility pattern mining with list structures.
Knowl. Based Syst., 2022

Advanced uncertainty based approach for discovering erasable product patterns.
Knowl. Based Syst., 2022

Deep active reinforcement learning for privacy preserve data mining in 5G environments.
J. Intell. Fuzzy Syst., 2022

Ensemble-based deep meta learning for medical image segmentation.
J. Intell. Fuzzy Syst., 2022

Efficient Uncertain Sequence Pattern Mining Based on Hadoop Platform.
J. Circuits Syst. Comput., 2022

GSTChain: A Blockchain Network Application for the Goods and Services Tax.
J. Circuits Syst. Comput., 2022

An efficient approach for mining maximized erasable utility patterns.
Inf. Sci., 2022

Deep learning based hashtag recommendation system for multimedia data.
Inf. Sci., 2022

Optimized scheduling of resource-constraints in projects for smart construction.
Inf. Process. Manag., 2022

Privacy-Preserving Active Learning on the Internet of 5G Connected Artificial Intelligence of Things.
IEEE Internet Things Mag., 2022

Secure Artificial Intelligence of Things for Implicit Group Recommendations.
IEEE Internet Things J., 2022

Feedback Learning in Software-Defined Mobile Network for Resource Aware Load Balancing Under Fault Tolerance Conditions.
IEEE Instrum. Meas. Mag., 2022

Occupancy-based utility pattern mining in dynamic environments of intelligent systems.
Int. J. Intell. Syst., 2022

An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators.
Int. J. Interact. Multim. Artif. Intell., 2022

Efficient Multimedia Frame-Skipping Architecture Using Deep Learning in Vehicular Networks.
IEEE Multim., 2022

Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network.
Frontiers Comput. Neurosci., 2022

EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment.
Future Gener. Comput. Syst., 2022

Reliable customer analysis using federated learning and exploring deep-attention edge intelligence.
Future Gener. Comput. Syst., 2022

Mining large-scale high utility patterns in vehicular ad hoc network environments.
Trans. Emerg. Telecommun. Technol., 2022

EHMIN: Efficient approach of list based high-utility pattern mining with negative unit profits.
Expert Syst. Appl., 2022

Sensor data fusion for the industrial artificial intelligence of things.
Expert Syst. J. Knowl. Eng., 2022

Hybrid intelligent framework for automated medical learning.
Expert Syst. J. Knowl. Eng., 2022

Informative index for investment based on Kelly criterion.
Enterp. Inf. Syst., 2022

Editorial for the special issue: Satellite imagery analysis and mapping for urban ecology.
Ecol. Informatics, 2022

Itemset Utility Maximization with Correlation Measure.
CoRR, 2022

Generative Adversarial Networks for Image Super-Resolution: A Survey.
CoRR, 2022

A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments.
Comput. Commun., 2022

Intelligent deep fusion network for urban traffic flow anomaly identification.
Comput. Commun., 2022

A resource allocation deep active learning based on load balancer for network intrusion detection in SDN sensors.
Comput. Commun., 2022

An ontology matching approach for semantic modeling: A case study in smart cities.
Comput. Intell., 2022

Privacy-Preserving Deep Reinforcement Learning in Vehicle Ad Hoc Networks.
IEEE Consumer Electron. Mag., 2022

Explainable Artificial Intelligence for Cybersecurity.
Comput. Electr. Eng., 2022

Introduction to the special section on Human-computer Interaction enabled Augmentative communication (VSI-hcac).
Comput. Electr. Eng., 2022

A consensus protocol for unmanned aerial vehicle networks in the presence of Byzantine faults.
Comput. Electr. Eng., 2022

Mitigating adversarial evasion attacks of ransomware using ensemble learning.
Comput. Electr. Eng., 2022

Call for Papers, Issue 1/2024.
Bus. Inf. Syst. Eng., 2022

High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies.
Appl. Soft Comput., 2022

Dynamic maintenance model for high average-utility pattern mining with deletion operation.
Appl. Intell., 2022

Analytics of high average-utility patterns in the industrial internet of things.
Appl. Intell., 2022

An efficient and scalable approach for mining subgraphs in a single large graph.
Appl. Intell., 2022

Efficient evolutionary computation model of closed high-utility itemset mining.
Appl. Intell., 2022

TSPIN: mining top-k stable periodic patterns.
Appl. Intell., 2022

An edge-driven multi-agent optimization model for infectious disease detection.
Appl. Intell., 2022

Adversarial Ensemble Modeling for Evasion Attack Detection.
Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

Mental Health Treatments Using an Explainable Adaptive Clustering Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

An Optimization Algorithm for Extractive Multi-document Summarization Based on Association of Sentences.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Skyline Pattern Mining by Quantity-Utility Constraints in Large-Scale Databases.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Large-Scale Sequential Utility Pattern Mining in Uncertain Environments.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Spatial-Temporal Air Quality Inference based on Matrix Factorization.
Proceedings of the IEEE International Conference on Communications, 2022

Human-AI Collaboration to Increase the Perception of VR.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

Intrusion Detection and Load Balancing using Active Learning Model in SDVNs.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Fuzzy-Based Stock Selection System through Suitability Index and Position Sizing.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

An Explainable Mental Health Fuzzy Deep Active Learning Technique.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Top-k Dominating Queries on Incremental Datasets.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

Mining of High-Utility Sequence Patterns in Large-Scale Uncertain Databases.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Predicting the soil organic carbon by recent machine learning algorithms.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Double-Environmental Q-Learning for Energy Management System in Smart Grid.
Proceedings of the IEEE International Conference on Big Data, 2022

An Efficient and Secured Energy Management System for Automated Guided Vehicles.
Proceedings of the IEEE International Conference on Big Data, 2022

Pattern Discovery with Utility Occupancy.
Proceedings of the IEEE International Conference on Big Data, 2022

Automated Guided Vehicles Challenges for Artificial Intelligence.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Evaluation of Congestion Aware Social Metrics for Centrality-Based Routing.
Wirel. Commun. Mob. Comput., 2021

Reaching Consensus with Byzantine Faulty Controllers in Software-Defined Networks.
Wirel. Commun. Mob. Comput., 2021

The Efficient Mining of Skyline Patterns from a Volunteer Computing Network.
ACM Trans. Internet Techn., 2021

A Multi-Threshold Ant Colony System-based Sanitization Model in Shared Medical Environments.
ACM Trans. Internet Techn., 2021

Game-Theoretic Strategic Coordination and Navigation of Multiple Wheeled Robots.
ACM Trans. Internet Techn., 2021

Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility.
ACM Trans. Internet Techn., 2021

Exploring Decomposition for Solving Pattern Mining Problems.
ACM Trans. Manag. Inf. Syst., 2021

Machine Learning for Identifying Group Trajectory Outliers.
ACM Trans. Manag. Inf. Syst., 2021

A Survey of Utility-Oriented Pattern Mining.
IEEE Trans. Knowl. Data Eng., 2021

Utility Mining Across Multi-Dimensional Sequences.
ACM Trans. Knowl. Discov. Data, 2021

Trajectory Outlier Detection: New Problems and Solutions for Smart Cities.
ACM Trans. Knowl. Discov. Data, 2021

Suspicious activity detection using deep learning in secure assisted living IoT environments.
J. Supercomput., 2021

SS-ITS: secure scalable intelligent transportation systems.
J. Supercomput., 2021

Uncertain-Driven Analytics of Sequence Data in IoCV Environments.
IEEE Trans. Intell. Transp. Syst., 2021

Fault-Tolerance Mechanisms for Software-Defined Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

A Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories.
IEEE Trans. Intell. Transp. Syst., 2021

RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams.
ACM Trans. Intell. Syst. Technol., 2021

Guest Editorial: Artificial Intelligence for Securing Industrial-Based Cyber-Physical Systems.
IEEE Trans. Ind. Informatics, 2021

Fast and Accurate Convolution Neural Network for Detecting Manufacturing Data.
IEEE Trans. Ind. Informatics, 2021

DARE-SEP: A Hybrid Approach of Distance Aware Residual Energy-Efficient SEP for WSN.
IEEE Trans. Green Commun. Netw., 2021

Editorial: Applications of Fuzzy Systems in Data Science and Big Data.
IEEE Trans. Fuzzy Syst., 2021

An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Fast Utility Mining on Sequence Data.
IEEE Trans. Cybern., 2021

A graph-based convolutional neural network stock price prediction with leading indicators.
Softw. Pract. Exp., 2021

Editorial on "recent advances in logistics transportation with autonomous systems".
Soft Comput., 2021

A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster.
Soft Comput., 2021

Periodicity-Oriented Data Analytics on Time-Series Data for Intelligence System.
IEEE Syst. J., 2021

Security and Privacy Techniques in IoT Environment.
Sensors, 2021

Self-attention-based conditional random fields latent variables model for sequence labeling.
Pattern Recognit. Lett., 2021

Mining of High-Utility Patterns in Big IoT-based Databases.
Mob. Networks Appl., 2021

Feature Extraction for Medical CT Images of Sports Tear Injury.
Mob. Networks Appl., 2021

Cross-Dimension Mining Model of Public Opinion Data in Online Education Based on Fuzzy Association Rules.
Mob. Networks Appl., 2021

A Novel Synergetic LSTM-GA Stock Trading Suggestion System in Internet of Things.
Mob. Inf. Syst., 2021

Evolutionary ORB-based model with protective closing strategies.
Knowl. Based Syst., 2021

ASRNN: A recurrent neural network with an attention model for sequence labeling.
Knowl. Based Syst., 2021

Damped sliding based utility oriented pattern mining over stream data.
Knowl. Based Syst., 2021

A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems.
J. Netw. Syst. Manag., 2021

Fuzzy high-utility pattern mining in parallel and distributed Hadoop framework.
Inf. Sci., 2021

Unmanned Aerial Multi-Object Dynamic Frame Detection and Skipping Using Deep Learning on the Internet of Drones.
IEEE Internet Things Mag., 2021

An IoT-Based Hedge System for Solar Power Generation.
IEEE Internet Things J., 2021

Large-Scale High-Utility Sequential Pattern Analytics in Internet of Things.
IEEE Internet Things J., 2021

Privacy-Preserving Multiobjective Sanitization Model in 6G IoT Environments.
IEEE Internet Things J., 2021

Efficient closed high-utility pattern fusion model in large-scale databases.
Inf. Fusion, 2021

Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection.
Inf. Fusion, 2021

Average utility driven data analytics on damped windows for intelligent systems with data streams.
Int. J. Intell. Syst., 2021

Editor's Note.
Int. J. Interact. Multim. Artif. Intell., 2021

A new perceptual evaluation method of video quality based on neural network.
Intell. Data Anal., 2021

Hiding sensitive information in eHealth datasets.
Future Gener. Comput. Syst., 2021

An evolutionary computation-based privacy-preserving data mining model under a multithreshold constraint.
Trans. Emerg. Telecommun. Technol., 2021

5G-Empowered Drone Networks in Federated and Deep Reinforcement Learning Environments.
IEEE Commun. Stand. Mag., 2021

A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks.
CoRR, 2021

Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings.
Comput. Commun., 2021

A Machine Learning Model for Data Sanitization.
Comput. Networks, 2021

A nutrient recommendation system for soil fertilization based on evolutionary computation.
Comput. Electron. Agric., 2021

A Long Short-Term Memory Network Stock Price Prediction with Leading Indicators.
Big Data, 2021

A predictive GA-based model for closed high-utility itemset mining.
Appl. Soft Comput., 2021

Portfolio management system in equity market neutral using reinforcement learning.
Appl. Intell., 2021

FHUQI-Miner: Fast high utility quantitative itemset mining.
Appl. Intell., 2021

Linguistic frequent pattern mining using a compressed structure.
Appl. Intell., 2021

Cluster-based information retrieval using pattern mining.
Appl. Intell., 2021

Privacy reinforcement learning for faults detection in the smart grid.
Ad Hoc Networks, 2021

Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing.
IEEE Access, 2021

IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications.
IEEE Access, 2021

A Bitmap Approach for Mining Erasable Itemsets.
IEEE Access, 2021

Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Privacy-Preserving Periodic Frequent Pattern Model in AIoT Applications.
Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2021

Efficient High-utility Itemset Mining Based on a Novel Data Structure.
Proceedings of the IEEE International Smart Cities Conference, 2021

CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets.
Proceedings of the 2021 International Conference on Data Mining, 2021

Large-Scale Closed High-Utility Itemset Mining.
Proceedings of the 2021 International Conference on Data Mining, 2021

Network-Aware SDN Load Balancer with Deep Active Learning based Intrusion Detection Model.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep-Attention Model to Analyze Reliable Customers via Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

A ML-Based Stock Trading Model for Profit Predication.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

COVID-19 Genome Analysis Using Alignment-Free Methods.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

A Transaction Classification Model of Federated Learning.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Generative Ensemble Learning for Mitigating Adversarial Malware Detection in IoT.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Energy-aware Load Balancing in Heterogeneous Environments.
Proceedings of the ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems, Dubai United Arab Emirates, December 15, 2021

A Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining.
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021

Challenges Associated with Sensors and Data Fusion for AGV-Driven Smart Manufacturing.
Proceedings of the Computational Science - ICCS 2021, 2021

Mining of High-Utility Patterns in Big IoT Databases.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

A Graphic CNN-LSTM Model for Stock Price Predication.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Federated Learning Model with Augmentation and Samples Exchange Mechanism.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

Fuzzy Explainable Attention-based Deep Active Learning on Mental-Health Data.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Detection of Trajectory Outliers in Intelligent Transportation Systems.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

MQTT Protocol Use Cases in the Internet of Things.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

Routing Protocol Security for Low-Power and Lossy Networks in the Internet of Things.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

TKQ: Top-K Quantitative High Utility Itemset Mining.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Investigating Crossover Operators in Genetic Algorithms for High-Utility Itemset Mining.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

Mining Partially-Ordered Episode Rules in an Event Sequence.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
A survey of pattern mining in dynamic graphs.
WIREs Data Mining Knowl. Discov., 2020

Utility-Driven Mining of Trend Information for Intelligent System.
ACM Trans. Manag. Inf. Syst., 2020

Trajectory Outlier Detection: Algorithms, Taxonomies, Evaluation, and Open Challenges.
ACM Trans. Manag. Inf. Syst., 2020

Utility Mining across Multi-Sequences with Individualized Thresholds.
Trans. Data Sci., 2020

HUOPM: High-Utility Occupancy Pattern Mining.
IEEE Trans. Cybern., 2020

Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests.
Sci. Program., 2020

Utility-Driven Data Analytics on Uncertain Data.
IEEE Syst. J., 2020

cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing.
Secur. Commun. Networks, 2020

Mining cost-effective patterns in event logs.
Knowl. Based Syst., 2020

High average-utility sequential pattern mining based on uncertain databases.
Knowl. Inf. Syst., 2020

Updating high average-utility itemsets with pre-large concept.
J. Intell. Fuzzy Syst., 2020

An efficient algorithm for fuzzy frequent itemset mining.
J. Intell. Fuzzy Syst., 2020

Efficient approach of recent high utility stream pattern mining with indexed list structure and pruning strategy considering arrival times of transactions.
Inf. Sci., 2020

ProUM: Projection-based utility mining on sequence data.
Inf. Sci., 2020

Enhanced sequence labeling based on latent variable conditional random fields.
Neurocomputing, 2020

Efficiently mining erasable stream patterns for intelligent systems over uncertain data.
Int. J. Intell. Syst., 2020

Mining correlated high-utility itemsets using various measures.
Log. J. IGPL, 2020

One scan based high average-utility pattern mining in static and dynamic databases.
Future Gener. Comput. Syst., 2020

A spatiotemporal data compression approach with low transmission cost and high data fidelity for an air quality monitoring system.
Future Gener. Comput. Syst., 2020

Efficient approach for incremental weighted erasable pattern mining with list structure.
Expert Syst. Appl., 2020

Space-time series clustering: Algorithms, taxonomy, and case study on urban smart cities.
Eng. Appl. Artif. Intell., 2020

Erasable pattern mining based on tree structures with damped window over data streams.
Eng. Appl. Artif. Intell., 2020

Discovering rare correlated periodic patterns in multiple sequences.
Data Knowl. Eng., 2020

A bidirectional congestion control transport protocol for the internet of drones.
Comput. Commun., 2020

Incrementally updating the high average-utility patterns with pre-large concept.
Appl. Intell., 2020

A general-purpose distributed pattern mining system.
Appl. Intell., 2020

A recurrent neural network for urban long-term traffic flow forecasting.
Appl. Intell., 2020

Data mining-based approach for ontology matching problem.
Appl. Intell., 2020

Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept.
IEEE Access, 2020

Visualization of Generic Utility of Sequential Patterns.
IEEE Access, 2020

Efficient Chain Structure for High-Utility Sequential Pattern Mining.
IEEE Access, 2020

Mining Productive Itemsets in Dynamic Databases.
IEEE Access, 2020

Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets.
IEEE Access, 2020

When the Decomposition Meets the Constraint Satisfaction Problem.
IEEE Access, 2020

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem.
IEEE Access, 2020

A Data-Driven Approach for Twitter Hashtag Recommendation.
IEEE Access, 2020

Mining Locally Trending High Utility Itemsets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

TKE: Mining Top-K Frequent Episodes.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Mining Cross-Level High Utility Itemsets.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Efficient Mining of Pareto-Front High Expected Utility Patterns.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

A PSO-Based Sanitization Process with Multi-thresholds Model.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Efficient Mining of Non-Dominated High Quantity-Utility Patterns.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

TKC: Mining Top-K Cross-Level High Utility Itemsets.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

A Tree-based Fuzzy Average-Utility Mining Algorithm.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Autonomous Guided Vehicles for Smart Industries - The State-of-the-Art and Research Challenges.
Proceedings of the Computational Science - ICCS 2020, 2020

Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

One-Phase Temporal Fuzzy Utility Mining.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Mining Attribute Evolution Rules in Dynamic Attributed Graphs.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

High-Utility Pattern Mining in Hadoop Environments.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Fuzzy High-Utility Pattern Mining based on the Hadoop Framework.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Mining High-Utility Sequential Patterns in Uncertain Databases.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Context-aware Adaptive Outlier Detection in Trajectory Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Fast and Accurate Group Outlier Detection for Trajectory Data.
Proceedings of the New Trends in Databases and Information Systems, 2020

2019
High-Utility Itemset Mining with Effective Pruning Strategies.
ACM Trans. Knowl. Discov. Data, 2019

A Survey of Parallel Sequential Pattern Mining.
ACM Trans. Knowl. Discov. Data, 2019

Hiding sensitive itemsets with multiple objective optimization.
Soft Comput., 2019

Mining significant trend sequences in dynamic attributed graphs.
Knowl. Based Syst., 2019

A fuzzy GGA-based approach to speed up the evolutionary process for diverse group stock portfolio optimization.
J. Intell. Fuzzy Syst., 2019

BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction.
Inf. Sci., 2019

Correlated utility-based pattern mining.
Inf. Sci., 2019

Mining local and peak high utility itemsets.
Inf. Sci., 2019

Efficient algorithms to identify periodic patterns in multiple sequences.
Inf. Sci., 2019

Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases.
Inf. Sci., 2019

Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining.
Int. J. Comput. Intell. Syst., 2019

GPU-based swarm intelligence for Association Rule Mining in big databases.
Intell. Data Anal., 2019

Mining of skyline patterns by considering both frequent and utility constraints.
Eng. Appl. Artif. Intell., 2019

A Bi-LSTM mention hypergraph model with encoding schema for mention extraction.
Eng. Appl. Artif. Intell., 2019

Fast Utility Mining on Complex Sequences.
CoRR, 2019

A Sanitization Approach to Secure Shared Data in an IoT Environment.
IEEE Access, 2019

A Survey on Urban Traffic Anomalies Detection Algorithms.
IEEE Access, 2019

Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow.
IEEE Access, 2019

An Effective Approach for the Diverse Group Stock Portfolio Optimization Using Grouping Genetic Algorithm.
IEEE Access, 2019

An Effective Approach for Obtaining a Group Trading Strategy Portfolio Using Grouping Genetic Algorithm.
IEEE Access, 2019

A Project-based PMiner Algorithm in Uncertain Databases.
Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Efficient Mining of High Average-Utility Sequential Patterns from Uncertain Databases.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

ProUM: High Utility Sequential Pattern Mining.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An Evolutionary-based Algorithm for Multi-Period Grouping Stock Portfolio Optimization.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Latent Variable CRF Model for Labeling Prediction.
Proceedings of the Multidisciplinary Social Networks Research, 2019

An Effective BI-encoded Schema for Mention Extraction.
Proceedings of the Multidisciplinary Social Networks Research, 2019

Discovering Stable Periodic-Frequent Patterns in Transactional Data.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

High-Utility Itemset Mining in Big Dataset.
Proceedings of the Genetic and Evolutionary Computing, 2019

A New Convolution Neural Network Model for Stock Price Prediction.
Proceedings of the Genetic and Evolutionary Computing, 2019

Approximate Approach to Finding Generic Utility of Sequential Patterns.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

An Efficient Chain Structure to Mine High-Utility Sequential Patterns.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Comparative Study on Trajectory Outlier Detection Algorithms.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Highly Efficient Pattern Mining Based on Transaction Decomposition.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

High-Utility Itemset Mining in Big Dataset.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2019

Synthesization of High-Utility Patterns in Parallel Computing.
Proceedings of the 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, 2019

Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

Finding Strongly Correlated Trends in Dynamic Attributed Graphs.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Single Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A GA-based Framework for Mining High Fuzzy Utility Itemsets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Mining High-Utility Sequential Patterns from Big Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Mining Temporal Fuzzy Utility Itemsets by Tree Structure.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Utility-Driven Mining of High Utility Episodes.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

TKG: Efficient Mining of Top-K Frequent Subgraphs.
Proceedings of the Big Data Analytics - 7th International Conference, 2019

HUE-Span: Fast High Utility Episode Mining.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Exploring Pattern Mining for Solving the Ontology Matching Problem.
Proceedings of the New Trends in Databases and Information Systems, 2019

2018
A survey of incremental high-utility itemset mining.
WIREs Data Mining Knowl. Discov., 2018

Extracting non-redundant correlated purchase behaviors by utility measure.
Knowl. Based Syst., 2018

Exploiting highly qualified pattern with frequency and weight occupancy.
Knowl. Inf. Syst., 2018

Fast and effective cluster-based information retrieval using frequent closed itemsets.
Inf. Sci., 2018

Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion.
Int. J. Fuzzy Syst., 2018

Efficiently updating the discovered high average-utility itemsets with transaction insertion.
Eng. Appl. Artif. Intell., 2018

Maintenance algorithm for high average-utility itemsets with transaction deletion.
Appl. Intell., 2018

A new framework for metaheuristic-based frequent itemset mining.
Appl. Intell., 2018

TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns.
IEEE Access, 2018

MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds.
IEEE Access, 2018

Frequent Itemset Mining in Big Data With Effective Single Scan Algorithms.
IEEE Access, 2018

A Multiple Objective PSO-Based Approach for Data Sanitization.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

Football Pass Prediction Using Player Locations.
Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Discovering Strong Meta Association Rules Using Bees Swarm Optimization.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Maintenance of Erasable Itemsets for Product Deletion.
Proceedings of the 5th Multidisciplinary International Social Networks Conference, 2018

Interactive Discovery of Statistically Significant Itemsets.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

GFSOM: Genetic Feature Selection for Ontology Matching.
Proceedings of the Genetic and Evolutionary Computing, 2018

PPSF: An Open-Source Privacy-Preserving and Security Mining Framework.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

New Tighter Upper Bounds for Mining High Average-Utility Itemsets.
Proceedings of the 2018 International Conference on Big Data and Education, 2018

On Link Stability Detection for Online Social Networks.
Proceedings of the Database and Expert Systems Applications, 2018

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.
Proceedings of the Database and Expert Systems Applications, 2018

A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment.
Proceedings of the Database and Expert Systems Applications, 2018

Mining Local High Utility Itemsets.
Proceedings of the Database and Expert Systems Applications, 2018

Anonymization of Multiple and Personalized Sensitive Attributes.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Discovering Periodic Patterns Common to Multiple Sequences.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

SLIND: Identifying Stable Links in Online Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Privacy Preserving Utility Mining: A Survey.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

CoUPM: Correlated Utility-based Pattern Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

Discovering High Utility Change Points in Customer Transaction Data.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

An Approach for Diverse Group Stock Portfolio Optimization Using the Fuzzy Grouping Genetic Algorithm.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
A Countermeasure to SQL Injection Attack for Cloud Environment.
Wirel. Pers. Commun., 2017

Prediction of Speech Quality Based on Resilient Backpropagation Artificial Neural Network.
Wirel. Pers. Commun., 2017

Data mining in distributed environment: a survey.
WIREs Data Mining Knowl. Discov., 2017

Cover Image, Volume 7, Issue 6.
WIREs Data Mining Knowl. Discov., 2017

A survey of itemset mining.
WIREs Data Mining Knowl. Discov., 2017

A binary PSO approach to mine high-utility itemsets.
Soft Comput., 2017

Efficiently mining uncertain high-utility itemsets.
Soft Comput., 2017

An ACO-based approach to mine high-utility itemsets.
Knowl. Based Syst., 2017

EFIM: a fast and memory efficient algorithm for high-utility itemset mining.
Knowl. Inf. Syst., 2017

FDHUP: Fast algorithm for mining discriminative high utility patterns.
Knowl. Inf. Syst., 2017

Efficient hiding of confidential high-utility itemsets with minimal side effects.
J. Exp. Theor. Artif. Intell., 2017

Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases.
Int. J. Inf. Technol. Decis. Mak., 2017

Efficient Mining of Multiple Fuzzy Frequent Itemsets.
Int. J. Fuzzy Syst., 2017

Efficiently mining of skyline frequent-utility patterns.
Intell. Data Anal., 2017

Mining of frequent patterns with multiple minimum supports.
Eng. Appl. Artif. Intell., 2017

Extracting recent weighted-based patterns from uncertain temporal databases.
Eng. Appl. Artif. Intell., 2017

A fast algorithm for mining high average-utility itemsets.
Appl. Intell., 2017

Efficiently mining frequent itemsets with weight and recency constraints.
Appl. Intell., 2017

A two-phase approach to mine short-period high-utility itemsets in transactional databases.
Adv. Eng. Informatics, 2017

FRIOD: A Deeply Integrated Feature-Rich Interactive System for Effective and Efficient Outlier Detection.
IEEE Access, 2017

Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets.
IEEE Access, 2017

EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds.
IEEE Access, 2017

Temporal-Based Fuzzy Utility Mining.
IEEE Access, 2017

Mining high utility partial periodic pattern by GPA.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Mining of High Average-Utility Itemsets with a Tighter Upper-Bound Model.
Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

High Utility Partial Periodic Pattern Mining.
Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

Distribution of Voice Messages in Crisis or Emergency Situations.
Proceedings of the Multimedia Communications, Services and Security, 2017

An incremental mining algorithm for erasable itemsets.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Efficient Mining of High Average-Utility Itemsets with Multiple Thresholds.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

Updating the Discovered High Average-Utility Patterns with Transaction Insertion.
Proceedings of the Genetic and Evolutionary Computing, 2017

Mining Erasable Itemsets Using Bitmap Representation.
Proceedings of the Genetic and Evolutionary Computing, 2017

An Hybrid Multi-Core/GPU-Based Mimetic Algorithm for Big Association Rule Mining.
Proceedings of the Genetic and Evolutionary Computing, 2017

Mining of Multiple Fuzzy Frequent Itemsets with Transaction Insertion.
Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, 2017

Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Quasi-erasable itemset mining.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Exploiting High Utility Occupancy Patterns.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016
Updating high-utility pattern trees with transaction modification.
Multim. Tools Appl., 2016

Efficient mining of high-utility itemsets using multiple minimum utility thresholds.
Knowl. Based Syst., 2016

Efficient algorithms for mining high-utility itemsets in uncertain databases.
Knowl. Based Syst., 2016

FHN: An efficient algorithm for mining high-utility itemsets with negative unit profits.
Knowl. Based Syst., 2016

Inferring social network user profiles using a partial social graph.
J. Intell. Inf. Syst., 2016

Efficiently Updating the Discovered Sequential Patterns for Sequence Modification.
Int. J. Softw. Eng. Knowl. Eng., 2016

An efficient algorithm to maintain the discovered frequent sequences with record deletion.
Intell. Data Anal., 2016

A fast maintenance algorithm of the discovered high-utility itemsets with transaction deletion.
Intell. Data Anal., 2016

Association rule hiding based on evolutionary multi-objective optimization.
Intell. Data Anal., 2016

Mining high-utility itemsets based on particle swarm optimization.
Eng. Appl. Artif. Intell., 2016

Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining.
Eng. Appl. Artif. Intell., 2016

A sanitization approach for hiding sensitive itemsets based on particle swarm optimization.
Eng. Appl. Artif. Intell., 2016

Maintaining the discovered high-utility itemsets with transaction modification.
Appl. Intell., 2016

Weighted frequent itemset mining over uncertain databases.
Appl. Intell., 2016

Privacy preservation through a greedy, distortion-based rule-hiding method.
Appl. Intell., 2016

An efficient algorithm to mine high average-utility itemsets.
Adv. Eng. Informatics, 2016

Fast algorithms for mining high-utility itemsets with various discount strategies.
Adv. Eng. Informatics, 2016

PTA: An Efficient System for Transaction Database Anonymization.
IEEE Access, 2016

Efficient Mining of Uncertain Data for High-Utility Itemsets.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supports.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Employing the neural networks to parametrically assess the quality of a voice call.
Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2016

Mining closed high utility itemsets in uncertain databases.
Proceedings of the Seventh Symposium on Information and Communication Technology, 2016

Efficient mining of short periodic high-utility itemsets.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Efficient closed high-utility itemset mining.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

The SPMF Open-Source Data Mining Library Version 2.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Mining of High-Utility Itemsets by ACO Algorithm.
Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

An Efficient Anonymous System for Transaction Data.
Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

PHM: Mining Periodic High-Utility Itemsets.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

FHM + : Faster High-Utility Itemset Mining Using Length Upper-Bound Reduction.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns.
Proceedings of the Genetic and Evolutionary Computing, 2016

Mining Correlated High-Utility Itemsets Using the Bond Measure.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Fast algorithms for mining multiple fuzzy frequent itemsets.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds.
Proceedings of the Database and Expert Systems Applications, 2016

Mining Minimal High-Utility Itemsets.
Proceedings of the Database and Expert Systems Applications, 2016

Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

Mining Recent High Expected Weighted Itemsets from Uncertain Databases.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

Mining Discriminative High Utility Patterns.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Peer-to-peer usage analysis in dynamic databases.
Peer-to-Peer Netw. Appl., 2015

A fast Algorithm for mining fuzzy frequent itemsets.
J. Intell. Fuzzy Syst., 2015

Updating the Built Prelarge Fast Updated Sequential Pattern Trees with Sequence Modification.
Int. J. Data Warehous. Min., 2015

An UBMFFP Tree for Mining Multiple Fuzzy Frequent Itemsets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Hide Association Rules with Fewer Side Effects.
IEICE Trans. Inf. Syst., 2015

Manage the Tradeoff in Data Sanitization.
IEICE Trans. Inf. Syst., 2015

Mining high utility itemsets for transaction deletion in a dynamic database.
Intell. Data Anal., 2015

Incrementally updating the discovered sequential patterns based on pre-large concept.
Intell. Data Anal., 2015

Tightening upper bounds for mining weighted frequent itemsets.
Intell. Data Anal., 2015

RWFIM: Recent weighted-frequent itemsets mining.
Eng. Appl. Artif. Intell., 2015

A CMFFP-tree algorithm to mine complete multiple fuzzy frequent itemsets.
Appl. Soft Comput., 2015

The GA-based algorithms for optimizing hiding sensitive itemsets through transaction deletion.
Appl. Intell., 2015

Efficient updating of discovered high-utility itemsets for transaction deletion in dynamic databases.
Adv. Eng. Informatics, 2015

Efficient algorithms for mining up-to-date high-utility patterns.
Adv. Eng. Informatics, 2015

A fast updated algorithm to maintain the discovered high-utility itemsets for transaction modification.
Adv. Eng. Informatics, 2015

A Fast Algorithm to Maintain the Discovered High-Utility Itemsets with Modified Records.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Efficient Mining of High-Utility Sequential Rules.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Privacy Protection Framework in Social Networked Cars.
Proceedings of the Multidisciplinary Social Networks Research, 2015

A Swarm-Based Approach to Mine High-Utility Itemsets.
Proceedings of the Multidisciplinary Social Networks Research, 2015

EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

More Accurate Inference of User Profiles in Online Social Networks.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Accurate Online Social Network User Profiling.
Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

A Swarm-Based Sanitization Approach for Hiding Confidential Itemsets.
Proceedings of the 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2015

Hewin: High expected weighted itemset mining in uncertain databases.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

A Sanitization Approach of Privacy Preserving Utility Mining.
Proceedings of the Genetic and Evolutionary Computing, 2015

Application Tool for Prediction and Implementation of QoS in IP Based Network.
Proceedings of the Intelligent Data Analysis and Applications, 2015

Mining high-utility itemsets with various discount strategies.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds.
Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, 2015

Mining Potential High-Utility Itemsets over Uncertain Databases.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Efficient Incremental High Utility Itemset Mining.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Mining Weighted Frequent Itemsets with the Recency Constraint.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Mining fuzzy frequent itemsets based on UBFFP trees.
J. Intell. Fuzzy Syst., 2014

Maintenance of prelarge trees for data mining with modified records.
Inf. Sci., 2014

Efficient updating of sequential patterns with transaction insertion.
Intell. Data Anal., 2014

Maintaining the discovered sequential patterns for sequence insertion in dynamic databases.
Eng. Appl. Artif. Intell., 2014

The MFFP-Tree fuzzy Mining Algorithm to Discover Complete Linguistic Frequent Itemsets.
Comput. Intell., 2014

Incrementally mining high utility patterns based on pre-large concept.
Appl. Intell., 2014

Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion.
IEEE Access, 2014

Privacy Preserving Association Rule Mining Using Binary Encoded NSGA-II.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Updating the Built FUSP Trees with Sequence Deletion Based on Prelarge Concept.
Proceedings of the Multidisciplinary Social Networks Research - International Conference, 2014

A Modified Maintenance Algorithm for Updating FUSP Tree in Dynamic Database.
Proceedings of the Modern Advances in Applied Intelligence, 2014

Distortion-Based Heuristic Sensitive Rule Hiding Method - The Greedy Way.
Proceedings of the Modern Advances in Applied Intelligence, 2014

Maintenance algorithm for updating the discovered multiple fuzzy frequent itemsets for transaction deletion.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Maintaining high-utility itemsets in dynamic databases.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Towards SQL Injection Attacks Detection Mechanism Using Parse Tree.
Proceedings of the Genetic and Evolutionary Computing, 2014

Hiding Sensitive Itemsets with Minimal Side Effects in Privacy Preserving Data Mining.
Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

An Incremental Algorithm for Maintaining the Built FUSP Trees Based on the Pre-large Concepts.
Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

Use EMO to protect sensitive knowledge in association rule mining by removing items.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Incrementally Updating High-Utility Itemsets with Transaction Insertion.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
A survey of fuzzy web mining.
WIREs Data Mining Knowl. Discov., 2013

An Integrated MFFP-tree Algorithm for Mining Global Fuzzy Rules from Distributed Databases.
J. Univers. Comput. Sci., 2013

A Greedy-based Approach for Hiding Sensitive Itemsets by Transaction Insertion.
J. Inf. Hiding Multim. Signal Process., 2013

Using TF-IDF to hide sensitive itemsets.
Appl. Intell., 2013

An Efficient Method for Hiding High Utility Itemsets.
Proceedings of the Advanced Methods and Technologies for Agent and Multi-Agent Systems, Proceedings of the 7th KES Conference on Agent and Multi-Agent Systems, 2013

Quantification-Based Ant Colony System for TSP.
Proceedings of the Genetic and Evolutionary Computing, 2013

Privacy preserving high utility mining based on genetic algorithms.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

Mining High Utility Itemsets Based on Transaction Deletion.
Proceedings of the Advanced Technologies, Embedded and Multimedia for Human-centric Computing, 2013

An Energy-Aware Routing Protocol Using Cat Swarm Optimization for Wireless Sensor Networks.
Proceedings of the Advanced Technologies, Embedded and Multimedia for Human-centric Computing, 2013

An Efficient Detecting Mechanism for Cross-Site Script Attacks in the Cloud.
Proceedings of the Advanced Technologies, Embedded and Multimedia for Human-centric Computing, 2013

2012
An incremental mining algorithm for high utility itemsets.
Expert Syst. Appl., 2012

A new mining approach for uncertain databases using CUFP trees.
Expert Syst. Appl., 2012

An Enhanced FUFP-Tree Maintenance Approach for Transaction Deletion.
Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications, 2012

Incremental multiple fuzzy frequent pattern tree.
Proceedings of the FUZZ-IEEE 2012, 2012

Integration of Multiple Fuzzy FP-trees.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011
An effective tree structure for mining high utility itemsets.
Expert Syst. Appl., 2011

Temporal data mining with up-to-date pattern trees.
Expert Syst. Appl., 2011

A lattice-based data sanitization approach.
Proceedings of the IEEE International Conference on Systems, 2011

A Heuristic Data-Sanitization Approach Based on TF-IDF.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Maintenance of Pre-large FUSP Trees in Dynamic Databases.
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011

Hiding sensitive itemsets by inserting dummy transactions.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Upper-bound multiple fuzzy frequent-pattern trees.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Using the Structure of Prelarge Trees to Incrementally Mine Frequent Itemsets.
New Gener. Comput., 2010

Providing Timely updated Sequential Patterns in Decision Making.
Int. J. Inf. Technol. Decis. Mak., 2010

Linguistic data mining with fuzzy FP-trees.
Expert Syst. Appl., 2010

Mining complete fuzzy frequent itemsets by tree structures.
Proceedings of the IEEE International Conference on Systems, 2010

Incrementally Mining High Utility Itemsets in Dynamic Databases.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

A two-phase fuzzy mining approach.
Proceedings of the FUZZ-IEEE 2010, 2010

Efficiently Mining High Average Utility Itemsets with a Tree Structure.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
The Pre-FUFP algorithm for incremental mining.
Expert Syst. Appl., 2009

Maintenance of fast updated frequent pattern trees for record deletion.
Comput. Stat. Data Anal., 2009

Mining Up-to-Date Knowledge Based on Tree Structures.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Fuzzy data mining based on the compressed fuzzy FP-trees.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Incrementally fast updated frequent pattern trees.
Expert Syst. Appl., 2008

An Incremental FUSP-Tree Maintenance Algorithm.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Incremental Mining with Prelarge Trees.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

An FUSP-Tree Maintenance Algorithm for Record Modification.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007


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