Philippe Fournier-Viger

According to our database1, Philippe Fournier-Viger authored at least 170 papers between 2005 and 2018.

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

Timeline

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Bibliography

2018
A survey of incremental high-utility itemset mining.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2018

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

High utility drift detection in quantitative data streams.
Knowl.-Based Syst., 2018

Extracting useful knowledge from event logs: A frequent itemset mining approach.
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

Mining diversified association rules in big datasets: A cluster/GPU/genetic approach.
Inf. Sci., 2018

An efficient algorithm for Hiding High Utility Sequential Patterns.
Int. J. Approx. Reasoning, 2018

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

A Survey of Parallel Sequential Pattern Mining.
CoRR, 2018

A Survey of Utility-Oriented Pattern Mining.
CoRR, 2018

ETARM: an efficient top-k association rule mining algorithm.
Appl. Intell., 2018

Efficient high utility itemset mining using buffered utility-lists.
Appl. Intell., 2018

Efficiently mining frequent itemsets applied for textual aggregation.
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

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

LocRec: Rule-Based Successive Location Recommendation in LBSN.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

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

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.
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

2017
A survey of itemset mining.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2017

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

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

Chemical reaction optimization with unified tabu search for the vehicle routing problem.
Soft Comput., 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

FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy.
Knowl. Inf. Syst., 2017

An efficient algorithm for mining top-k on-shelf high utility itemsets.
Knowl. Inf. Syst., 2017

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

MyRoute: A Graph-Dependency Based Model for Real-Time Route Prediction.
JCM, 2017

Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases.
International Journal of Information Technology and Decision Making, 2017

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

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

Extracting recent weighted-based patterns from uncertain temporal databases.
Eng. Appl. of AI, 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.
Advanced Engineering Informatics, 2017

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

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

Analyzing students' attention in class using wearable devices.
Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

Energy-Efficient Partitioning Clustering Algorithm for Wireless Sensor Network.
Proceedings of the Wireless Internet - 10th International Conference, 2017

Discovering Periodic Patterns in Non-uniform Temporal Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

TWINCLE : A Constrained Sequential Rule Mining Algorithm for Event Logs.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Updating the Discovered High Average-Utility Patterns with Transaction Insertion.
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

Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure.
Proceedings of the Big Data Analytics and Knowledge Discovery, 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
Efficient Algorithms for Mining Top-K High Utility Itemsets.
IEEE Trans. Knowl. Data Eng., 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

An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies.
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.
International Journal of Software Engineering and Knowledge Engineering, 2016

Mining high-utility itemsets based on particle swarm optimization.
Eng. Appl. of AI, 2016

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

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

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

An efficient algorithm for mining top-rank-k frequent patterns.
Appl. Intell., 2016

An efficient algorithm to mine high average-utility itemsets.
Advanced Engineering Informatics, 2016

Fast algorithms for mining high-utility itemsets with various discount strategies.
Advanced Engineering 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

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

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

Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution.
Proceedings of the Artificial Intelligence Applications and Innovations, 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

Authorship Attribution using Variable Length Part-of-Speech Patterns.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 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

Authorship Attribution Using Small Sets of Frequent Part-of-Speech Skip-grams.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

How to Apply Gamification Techniques to Design a Gaming Environment for Algebra Concepts.
Proceedings of the E-Learning, E-Education, and Online Training, 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
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets.
IEEE Trans. Knowl. Data Eng., 2015

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences.
IEEE Trans. Knowl. Data Eng., 2015

A fast Algorithm for mining fuzzy frequent itemsets.
Journal of Intelligent and Fuzzy Systems, 2015

RWFIM: Recent weighted-frequent itemsets mining.
Eng. Appl. of AI, 2015

Mining closed+ high utility itemsets without candidate generation.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

FOSHU: faster on-shelf high utility itemset mining - with or without negative unit profit.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

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

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

UP-Miner: A Utility Pattern Mining Toolbox.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Réduction de la complexité spatiale et temporelle du Compact Prediction Tree pour la prédiction de séquences.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 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 Weighted Frequent Itemsets with the Recency Constraint.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Inferring User Profiles in Online Social Networks Using a Partial Social Graph.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
SPMF: a Java open-source pattern mining library.
Journal of Machine Learning Research, 2014

Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

WBPL: An Open-Source Library for Predicting Web Surfing Behaviors.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning.
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

A Dynamic Questionnaire to Further Reduce Questions in Learning Style Assessment.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

An Adaptive Questionnaire for Automatic Identification of Learning Styles.
Proceedings of the Modern Advances in Applied Intelligence, 2014

ERMiner: Sequential Rule Mining Using Equivalence Classes.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

VGEN: Fast Vertical Mining of Sequential Generator Patterns.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

VMSP: Efficient Vertical Mining of Maximal Sequential Patterns.
Proceedings of the Advances in Artificial Intelligence, 2014

Novel Concise Representations of High Utility Itemsets Using Generator Patterns.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training.
TLT, 2013

TNS: mining top-k non-redundant sequential rules.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Assessing Procedural Knowledge in Free-Text Answers through a Hybrid Semantic Web Approach.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

Mining Maximal Sequential Patterns without Candidate Maintenance.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

TKS: Efficient Mining of Top-K Sequential Patterns.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2012
CMRules: Mining sequential rules common to several sequences.
Knowl.-Based Syst., 2012

A computational model for causal learning in cognitive agents.
Knowl.-Based Syst., 2012

Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Mining Top-K Non-redundant Association Rules.
Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

Mining Sequential Rules Common to Several Sequences with the Window Size Constraint.
Proceedings of the Advances in Artificial Intelligence, 2012

Mining Top-K Association Rules.
Proceedings of the Advances in Artificial Intelligence, 2012

Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Learning task models in ill-defined domain using an hybrid knowledge discovery framework.
Knowl.-Based Syst., 2011

Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions.
JILSA, 2011

Human-like learning in a conscious agent.
J. Exp. Theor. Artif. Intell., 2011

RuleGrowth: mining sequential rules common to several sequences by pattern-growth.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations.
Proceedings of the Advances in Artificial Intelligence, 2011

Implementing an Efficient Causal Learning Mechanism in a Cognitive Tutoring Agent.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A Cognitive Tutoring Agent with Automatic Reasoning Capabilities.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

A Cognitive Tutoring Agent with Episodic and Causal Learning Capabilities.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Mining Top-K Sequential Rules.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Building Intelligent Tutoring Systems for Ill-Defined Domains.
Proceedings of the Advances in Intelligent Tutoring Systems, 2010

Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS.
Educational Technology & Society, 2010

ITS in Ill-Defined Domains: Toward Hybrid Approaches.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent.
Proceedings of the Trends in Applied Intelligent Systems, 2010

CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009
Improving the Behavior of Intelligent Tutoring Agents with Data Mining.
IEEE Intelligent Systems, 2009

A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems
CoRR, 2009

How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent.
CoRR, 2009

How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent.
Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009

A Generic Episodic Learning Model Implemented in a Cognitive Agent by Means of Temporal Pattern Mining.
Proceedings of the Next-Generation Applied Intelligence, 2009

Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Defined Domains.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2008
Evaluating Spatial Representations and Skills in a Simulator-Based Tutoring System.
TLT, 2008

A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Using Knowledge Discovery Techniques to Support Tutoring in an Ill-Defined Domain.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

A Framework for Evaluating Semantic Knowledge in Problem-Solving-Based Intelligent Tutoring Systems.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Evaluating Spatial Knowledge through Problem-Solving in Virtual Learning Environments.
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008

2007
Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

A Framework for Problem-Solving Knowledge Mining from Users' Actions.
Proceedings of the Artificial Intelligence in Education, 2007

Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
From Black-Box Learning Objects to Glass-Box Learning Objects.
Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Recalling Recollections according to Temporal Contexts Applying a Novel Cognitive Knowledge Representation Approach.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005
DOKGETT - An Authoring Tool for Cognitive Model-Based Generation of the Knowledge.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005


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