Imbalanced Data Learning Approaches Review
Mohamed Bekkar, Taklit Akrouf Alitouche · International Journal of Data Mining & Knowledge Management Process · 2013
The present work deals with a well-known problem in machine learning, that classes have generally skewed prior probabilities distribution.This situation of imbalanced data is a handicap when trying to identify the minority classes , usually more interesting one In real world applications.This paper is an attempt to list the different approachs proposed in scientific research to deal with the imbalanced data learning, as well a comparison between various applications cases performed on this subject.