A Study of Customer Behaviour Through Web Mining

  • Gan Teck Wei School of Computer Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
  • Shirly Kho School of Computer Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
  • Wahidah Husain School of Computer Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
  • Zurinahni Zainol School of Computer Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia
Keywords: Data mining, web mining, buyer pattern, e-commerce, customer pattern

Abstract

Web mining is the extraction of interesting and potentially useful patterns and hidden information from web documents and web activities by applying data mining technology. The most important challenge of electronic commerce (E-commerce) is to understand as much as possible the customers wants, desires, and buying patterns to ensure competitiveness in the E-commerce era. Nowadays, any information related to consumer behavior has an important value in the highly competitive nature of the E-commerce market. Therefore, web mining can be used to find those obvious data that have potential value to reduce competition and simultaneously increase business profit. This paper aims to study the classification of web mining to extract customer behavior in E-commerce, investigate customer behavior through the techniques and processes of the web data mining used, explore the application of web mining in E-commerce, and increase profit.

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Published
2015-02-13
How to Cite
Wei, G. T., Kho, S., Husain, W., & Zainol, Z. (2015). A Study of Customer Behaviour Through Web Mining. Journal of Information Sciences and Computing Technologies, 2(1), 103-107. Retrieved from http://scitecresearch.com/journals/index.php/jisct/article/view/40
Section
Articles