SPMF is a popular Java open-source data mining library. It offers implementations of more than 230 data mining algorithms for discovering sequential patterns, sequential rules, association rules, high utility patterns, frequents itemsets, periodic patterns, episodes, clusters, subgraphs, and more. It has been cited in more than 1000 articles since 2010. SPMF includes implementations of my own data mining algorithms such as EFIM, PHM, FHM+, FHM, VGEN, CM-SPADE, CM-SPAM, TKS, VMSP, CMRules, RuleGrowth, TRuleGrowth, TopKRules, TopSeqRules, TNR, TSEQMiner, HUE-SPAN, TKG, and TNS, as well as other algorithms.
PL-PLAN is a simple AI planning framework offering implementations of Graphplan and six algorithms based on partial-order theory for classical state-space search. This is a collaboration with Ludovic Lebel.
The Paper Review Generator is a website designed to speed-up the work of reviewers. It can generate draft of reviews based on selected checkboxes.
CTS/CELTS is an intellligent cognitive agent for assisting learners during learning activities, developped by the GDAC lab.
Redbool is an intelligent tutoring system for learning how to reduce boolean expressions, developped by the ASTUS lab.
Dokgett is a software to visually design cognitive models, developped by the ASTUS lab.
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