WG 12.2 – Machine Learning and Data Mining

This group’s website is at: https://ifip.icmc.usp.br/

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

Machine Learning and Data Mining Working Group (WG) is part of the Technical Committee (TC) 12 – Artificial Intelligence. The WG 12.2 brings together researchers from Artificial Intelligence that share an interest in Machine Learning and Data Mining. For such, this WG is composed by researchers representing the scientific communities in the countries associated with scientific societies that are members of the International Federation for Information Processing (IFIP).

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

Members

• Amparo Alonso Betanzos, University of Coruña, Spain 
• Matjaz Gams, Jožef Stefan Institute, Slovenia
• Eduan Kotzé, University of the Free State in South Africa, South Africa
• Teresa Ludermir, Federal University of Pernambuco, Brazil
• Dino Ienco, Irstea Institute, France
• Shi Zhongzhi, Institute of Computing Technology, at the Chinese Academy of Sciences, China

• Machine
• Learning
• Data Mining
• WG 12.2