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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