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Multiple-Criteria Linear Programming for VIP E-Mail Behavior Analysis

41 citations0/0 files storedIEEE ... International Conference on Data Mining workshops

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Customer churn and segmentation Data Mining and Machine Learning Applications Financial Distress and Bankruptcy Prediction

Abstract

Excessive lose of customer account is becoming a major headache for VIP E-Mail hosting companies. Analysis of features of easily lost customers and finding the appropriate measures to sustain them has become pressing needs for these companies. As a promising data mining approach, Multiple Criteria Linear Programming (MCLP) has been successfully applied to classify credit cardholders' behavior. The purpose of this paper is to apply MCLP model to VIP E-Mail behavior classification; we first extracted the features of VIP E-Mail according to the accumulated experience functions, then we tested MCLP with cross- validation and ensemble. The results of the study showed that MCLP is sufficiently accurate and stable on VIP E-Mail dataset. Therefore it can be concluded that the application of MCLP on VIP E-Mail behavior analysis can provide credible results.

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2002DATA MINING VIA MULTIPLE CRITERIA LINEAR PROGRAMMING: APPLICATIONS IN CREDIT CARD PORTFOLIO MANAGEMENT

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2009A Study of the Gap from Data Mining to Its Application with Cases

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