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Predict The Churn and Silent Customers: A Case Study of Individual Investors
Yan, Pan1; Yun, Chen1; Yi, Xin2
2009
关键词churn investor silent investor prediction decistion tree broker CRISP-DM
页码658-+
英文摘要In a typical brokerage firm, most customers are silent or churn investors However, the prediction of silent investors did not gain enough attention Based on the CRISP-DM data mining framework and decision tree algorithm, two models are proposed for churn and silent investors respectively The tree models show that low return rate results in the silent investors, and the fund transfer pattern is of the most importance in both models Retention strategies are provided based on the behavioral finance theory and the two models' misclassification rate
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
WOS研究方向Computer Science
WOS记录号WOS:000284970100138
内容类型会议论文
源URL[http://10.2.47.112/handle/2XS4QKH4/3140]  
专题上海财经大学
作者单位1.Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai, Peoples R China;
2.Shanghai Finance Univ, Dept Informat Management, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Yan, Pan,Yun, Chen,Yi, Xin. Predict The Churn and Silent Customers: A Case Study of Individual Investors[C]. 见:.
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