IFIP TC12 - Artificial Intelligence

WG 12.2 – Machine Learning and Data Mining

This group’s website is at: http://www.intsci.ac.cn/en/ifipwg12_2.html

Officers

Chair

Prof.  André C. Ponce de Leon F. de Carvalho, Institute of Mathematics and Computer Sciences, University of São Paulo at São Carlos, São Carlos, SP, Brazil

Vice-Chair

Prof. Xin Yao, University of Birmingham, UK, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

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

• Machine
• Learning
• Data Mining
• WG 12.2