Analysis of Customer Behavior in Automatic Investment Plan Based on Decision Tree

Li Huo; Bo Jiang; Ya Xin Liu

doi:10.4028/www.scientific.net/AMM.644-650.5741

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Analysis of Customer Behavior in Automatic...

Analysis of Customer Behavior in Automatic Investment Plan Based on Decision Tree

Abstract:

Firstly, this paper introduces the decision tree and then the basic ideas and implementation methods of ID3 algorithm are discussed. Next, processes the data of customer behavior in the AIP business based on ID3 and constructs the decision tree meanwhile the rules are established. Finally, gives the results of the prediction and advices on how to design marketing strategy of fund business. This study can be used to make marketing strategy for fund companies and improve service quality of fund companies consequently.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

5741-5744

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.5741

Citation:

Cite this paper

Online since:

September 2014

Authors:

Li Huo*, Bo Jiang, Ya Xin Liu

Keywords:

Automatic Investment Plan, Data Mining (DM), Decision Tree, ID3 Algorithm

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* - Corresponding Author

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