Catching potential customers: an example of Web-mining-aided e-commerce decision-making

Author

Chen, Qingzhang ; Mao, Keji ; Zhang, Yin ; Lv, Lingyan

Author_Institution

Zhejiang Univ. of Technol., Hangzhou, China

Volume

5

fYear

2004

Firstpage

3986

Abstract

This study aims at, for an e-business Web site, how to use data mining technology in its management analysis, i.e. holding customer behavior patterns and digging potential customers. The connection between Web mining and e-commerce was analyzed. Based on a case of consumer behavior pattern digging, explanation of data gathering, filtering and formatting shows different data mining algorithms, like decision tree, neural network, genetic algorithms and case-based reasoning, should be selectively taken according to different application backgrounds.

Keywords

Web sites; case-based reasoning; consumer behaviour; data mining; decision trees; electronic commerce; genetic algorithms; neural nets; Web mining aided e-commerce decision making; case based reasoning; consumer behavior pattern digging; customer behavior patterns; data filtering; data formatting; data gathering; data mining algorithms; data mining technology; decision tree; e-business Website; genetic algorithms; management analysis; neural network; potential customers; Consumer behavior; Data mining; Decision making; Decision trees; Filtering algorithms; Genetic algorithms; Neural networks; Pattern analysis; Technology management; Web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on

Print_ISBN

0-7803-8273-0

Type

conf

DOI

10.1109/WCICA.2004.1342247

Filename

1342247