Interestingness Measures - Limits, Desiderata, and Recent Results.
Invited talk by Prof. Einoshin Suzuki (Kyushu University, Japan)
Confidence Width: An Objective Measure for Association Rule Novelty
José L. Balcázar
DCR: Discretization using Class Information to Reduce Number of Intervals
Prachya Pongaksorn, Thanawin Rakthanmanon, and Kitsana Waiyamai
A framework for monitoring classifiers’ performance: when and why failure occurs.
Invited talk by Prof. Nitesh V. Chawla (University of Notre Dame, USA)
A fair will for seeing and believing A feature cardinality driven distance measure to uninformative distributions
Enhancing Rule Importance Measure Using Concept Hierarchy
Jiye Li, Nick Cercone, Serene W. H. Wong, and Lisa Yan
False neighbourhoods and tears are the main mapping defaults. How to avoid it? How to exhibit remaining ones?
Sylvain Lespinats, Michael Aupetit
Closing remarks & conclusion