Identification of interested web users using decision tree classifier

Mallik, Moksud Alam and Zulkurnain, Nurul Fariza and Jamil Ahmed, S. K. and Nizamuddin, Mohammed Khaja (2021) Identification of interested web users using decision tree classifier. In: Advances in electrical and computer technologies. Advances in electrical and computer technologies, 711 . Springer Nature Singapore, Singapore, pp. 143-156. ISBN 978-981-15-9018-4

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Abstract

The development of the World Wide Web has evolved in an enormous volume of data; consequently, drawing out of useful knowledge is a demanding research issue. Use of data mining methods to the Web mentioned as Web mining. It goals at finding and extracting hidden knowledge from Web pages, and services bring out useful information from Web resources and discover common patterns on the Web for examining user activities in network-based systems. The key aim of this paper is to find interested users for a particular website. Hence, the requirement is to build a classification model that can categorize users into interested and non-interested visitors for a particular website based on their access pattern using Web server logs by making use of decision tree classification technique. It will be useful for website owners, to get potential users who are more interested in their website, so that the administration can provide higher privileges for them. Users will be benefited by the special service, which is not available for other users.

Item Type:	Book Chapter
Uncontrolled Keywords:	Data mining · Classification · Web log mining · Decision tree
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	DR Nurul Fariza Zulkurnain
Date Deposited:	11 Apr 2021 09:58
Last Modified:	08 Jun 2021 12:23
URI:	http://irep.iium.edu.my/id/eprint/89228

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