Current state of research on imbalanced data sets classification learning
不平衡数据分类的研究现状

IDS(imbalanced data sets), arising pervasively in practical applications, have caused a huge challenge to the machine learning community and consequently attracted more and more attentions. The paper summarized the state of this relatively new research field, including its issues, methods and results.