Study on Retail Customer Classification Based on Support Vector Machine
Yangfeng Qian, Chunhua Ju · 2009
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.