Feature Selection for VIP E-Mail Accounts Analysis

Authors:
Zhan Zhang;Yingjie Tian;Yong Shi
Affiliations:
Research Center on Data Technology and Knowledge Economy of CAS, Beijing 10080, ;Research Center on Data Technology and Knowledge Economy of CAS, Beijing 10080, ;Research Center on Data Technology and Knowledge Economy of CAS, Beijing 10080,
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

Citing 3
Cited 0

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Abstract

This paper introduces several feature selection methods on the VIP E-Mail account analysis, and then uses SVM to classify the users in order to maintain the ones who may leave in a short time. The websites hosting companies can follow the strategies, which are investigated in this paper, to reduce their labor cost and provide an attractive and simple registration for the users. The result shows that we can also reach the feasible predict accuracy.