Mining Web usage using FRS

Omar, Rosli and Abdullah, Zainatul Shima (2018) Mining Web usage using FRS. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M), 23rd-25th July 2018, Kuala Lumpur.

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Abstract

Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. Its application includes improving website design, personalised service, target marketing etc. Among the outstanding research issues in WUM include inefficiency in mining large weblogs, extracted patterns that are not representative of actual user behavior, and mining results which are too general, uninteresting and lack insights. This paper attempts to address the above problems using a method of mining that captures user traversing activities more effectively based on the notion of regularity. A mining algorithm is introduced using the approach of vertical database. The experiments suggest that the method is efficient, scalable, and able to address confusion caused by large number of extracted patterns.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4896/72767
Uncontrolled Keywords:	web mining; web usage mining; data mining; sequential pattern; machine learning
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr Zainatul Shima Abdullah
Date Deposited:	21 Jun 2019 10:16
Last Modified:	21 Jun 2019 10:16
URI:	http://irep.iium.edu.my/id/eprint/72767

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