The problem of imbalanced data classification learning has received much attention. Conventional algorithms are susceptible to skew favor majority samples and ignore minority samples. Majority weighted oversampling technique (MWMOTE) is an effective approach solve this problem, however, it may suffer from the shortcomings inadequate noise filtering synthesizing same as original data. To end, we...
