Classification of Imbalanced Dataset

The imbalanced dataset has broad applications in many fields,such as finance,business and scientific research,so the research of the imbalanced dataset has theoretical and practical significant.It takes main study in processing and classification of imbalanced dataset,firstly,it takes balance of processing with synthetic minority over-sampling technique algorithm in imbalanced dataset,then it establishes classification model with classification applied in weka,the last compared with no pretreatment of the established classification model and analyzing,it verified that synthetic minority over-sampling technique algorithm has its necessary,and in the same need to be further improved.