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WG 12.2 - Machine Learning and Data Mining
WG 12.2 - Machine Learning and Data Mining
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Nenad Stefanović joined the group WG 12.2 - Machine Learning and Data Mining
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WG 12.2 - Machine Learning and Data Mining
Officers
Chair
Prof Zhongzhi Shi, Chinese Academy of Sciences, Beijing 100080 China, email: shizz@ics.ict.ac.cn
Vice-Chair
Prof. A. Aamodt, NUST, N-7491 Trondheim, Norway, email: agnar.aamodt@idi.ntnu.no
Secretary
Dr. Nicolas Bredeche, Université Paris-Sud, 91405 Orsay, France, email: bredeche@lri.fr
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
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