CLASSIFICATION OF IMBALANCED DATA: A REVIEW 论文
2009International Journal of Pattern Recognition and Artificial Intelligence引用 1681
Imbalanced Data Classification TechniquesFinancial Distress and Bankruptcy PredictionElectricity Theft Detection Techniques
详细信息
- 发表期刊/会议
- International Journal of Pattern Recognition and Artificial Intelligence
- 发表日期
- 2009-06-01
- 发表年份
- 2009
关键词
Imbalanced Data Classification TechniquesFinancial Distress and Bankruptcy PredictionElectricity Theft Detection Techniques
摘要
Classification of data with imbalanced class distribution has encountered a significant drawback of the performance attainable by most standard classifier learning algorithms which assume a relatively balanced class distribution and equal misclassification costs. This paper provides a review of the classification of imbalanced data regarding: the application domains; the nature of the problem; the learning difficulties with standard classifier learning algorithms; the learning objectives and evaluation measures; the reported research solutions; and the class imbalance problem in the presence of multiple classes.