IFIP TC12 - Artificial Intelligence - WG 12.2

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

    Vice-Chair

    Prof. A. Aamodt, NUST, N-7491 Trondheim, Norway, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Secretary

    Prof. Sunil Vadera, School of Computing, Science & Engineering,
    University of Salford, M5 4WT, 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