International Journal of Engineering in Computer Science

P-ISSN: 2663-3582, E-ISSN: 2663-3590
Printed Journal   |   Refereed Journal   |   Peer Reviewed Journal

2021, Vol. 3, Issue 1, Part A

Analysis of customer behaviour using web usage mining


Author(s): Mamman Ojima John, Onoja Emmanuel Oche, Audu Elizabeth and Usman Ramalan Baba

Abstract: This paper attempts to figure out the concealed data and establish user Behaviour online by exploiting the online as a source for data collection. With the assistance of this information, user Behaviour can be predicted very easily. Free tool like similar web and page score were used to analyze user pattern on the web site of the particular establishment. These tools attempt to conduct mining on the web in an independent manner. The experimental result emphasizes a clear way to surf through the web and enhance the design of the web. This paper discusses the elaborate results of website in a particular education domain application. The main objective of conducting this study on websites of the different polytechnics in Federal Republic of Nigeria is to discern the pattern of Behavioural expressions and user characteristics so that institutional establishments can enhance their website structure and may transfer additional information in an applicable and timely manner.

DOI: 10.33545/26633582.2021.v3.i1a.40

Pages: 08-11 | Views: 814 | Downloads: 386

Download Full Article: Click Here
How to cite this article:
Mamman Ojima John, Onoja Emmanuel Oche, Audu Elizabeth, Usman Ramalan Baba. Analysis of customer behaviour using web usage mining. Int J Eng Comput Sci 2021;3(1):08-11. DOI: 10.33545/26633582.2021.v3.i1a.40
International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science

International Journal of Engineering in Computer Science
Call for book chapter