Study on Retail Customer Classification Based on Support Vector Machine

In this paper, the authors propose application of data mining method of support vector machine to large scale retail enterprises and establish a consumer behavior model SVMCC based on support vector machine. The model adopts the mapping mechanism and uncertain reasoning of cloud processing to distinctly express the relations among multi-attributes which affect the result of classification. This model can efficiently deal with the problem of high dimensional-linear-inseparableness. Finally, the authors present a specific case of application.