Abstract:

In this paper, we provide an uptodate survey of the classimbalanced classification problems. After simply explaining the concepts of this domain, we take a deep look into the problems of classimbalance, and then introduce various kinds of solutions to this problem in detail. The following part analyses the main classifier algorithms’ advantages and disadvantages. Finally,we point out the future trends of this domain.

Key words: classimbalanced, resampling, costsensitive learning, classifier integration