The customer behavior model of Internet securities dealing based on data mining

Author

Wang, Zhong ; He, Pi-Lian ; Guo, Lan-Shen ; Xue-Mei Sun

Author_Institution

Sch. of Electron. & Inf., Tianjin Univ., China

Volume

3

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

1816

Abstract

This paper discusses two patterns in data mining: association rules and sequential patterns, and describes the process to find these patterns by mining historical securities trading database. Through the analysis of mining result, this paper presents the concept and realization of customer behavior model, and successfully applies the model to advance the performance of Internet securities dealing system of CITIC Securities Co. Ltd. The customer behavior model presented by this paper is an important improvement of traditional securities trading.

Keywords

Internet; consumer behaviour; data mining; pattern recognition; securities trading; CITIC Securities Co. Ltd; Internet securities trading; association rules; customer behavior model; data mining; pattern discovery; securities trading database; sequential patterns; Association rules; Data analysis; Data mining; Data security; Helium; Information security; Internet; Itemsets; Sun; Transaction databases; Association rules; Customer behavior model; Data mining; Internet securities dealing; Sequential patterns;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527240

Filename

1527240