WG 12.2 - Machine Learning and Data Mining
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Officers Chair Prof Zhongzhi Shi, Chinese Academy of Sciences, Beijing 100080 China, email: 
Vice-Chair Prof. A. Aamodt, NUST, N-7491 Trondheim, Norway, email: 
Secretary Dr. Nicolas Bredeche, Université Paris-Sud, 91405 Orsay, France, email: 
Aim To study and develop theory and techniques for machine learning and data mining. Scope The scope of the Working Group’s activities includes (but is not restricted to) the following: Association Rules Classification Rules Decision Trees Case-Based Reasoning Genetic Algorithms Inductive Logic Programming Neural Nets Instance Based Learning Support Vector Machines Bagging and Boosting Feature Reduction Supervised and Unsupervised Learning Web and Text Mining Mining of Images, Video etc. Concept Learning Bayesian Learning Computational Learning Theory Reinforcement Learning