IFIP - TC12 - Artificial Intelligence

Machine Learning and Data Mining

André C. P. L. F. de Carvalho

Chair

Institute of Mathematics and Computer Sciences, University of São Paulo at São Carlos, São Carlos, SP, Brazil

Xin-Yao

Vice-Chair

University of Birmingham, UK

Our 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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