Application of SVM in Mining Potential Customers from Web Log
Fang Zhao-ben · Industrial Engineering and Engineering Management · 2010
Potential customers are the future sources of profits.The enterpriser can make business decisions accordingly,and can manage customer relationship specifically as soon as finding those people.In this article,support vector machine(svm) is used in web log mining,in order to search common patterns of behavior from potential customers who visit the web sites.And those potential customers are divided into different classes.Then tests on four train sets with different proportion present the influence of asymmetric data sets on classification results,and give a better model finally.