Titlebook: New Frontiers in Applied Data Mining; PAKDD 2009 Internati Thanaruk Theeramunkong,Cholwich Nattee,Graham Will Conference proceedings 2010 S

Adjourn

Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams, drift over time. Streams may also exhibit high and varying degrees of class imbalance, which can further complicate the task. In scenarios like these, class imbalance is particularly difficult to overcome and has not been as thoroughly studied. In this paper, we comprehensively consider the issues

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