RMF: Rough Set Membership Function-based for Clustering Web Transactions

One of the most important techniques to improve information management on the web in order to obtain better understanding of user's behaviour is clustering web data. Currently, the rough approximation-based clustering technique has been used to group web transactions into clusters. It is based...

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Main Authors:	Herawan, Tutut, Wan Maseri, Wan Mohd
Format:	Article
Language:	English
Published:	SERSC 2013
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/7504/ http://umpir.ump.edu.my/id/eprint/7504/ http://umpir.ump.edu.my/id/eprint/7504/ http://umpir.ump.edu.my/id/eprint/7504/1/RMF-_Rough_Set_Membership_Function-based_for_Clustering_Web_Transactions.pdf

id	ump-7504
recordtype	eprints
spelling	ump-75042015-03-03T09:36:29Z http://umpir.ump.edu.my/id/eprint/7504/ RMF: Rough Set Membership Function-based for Clustering Web Transactions Herawan, Tutut Wan Maseri, Wan Mohd QA76 Computer software One of the most important techniques to improve information management on the web in order to obtain better understanding of user's behaviour is clustering web data. Currently, the rough approximation-based clustering technique has been used to group web transactions into clusters. It is based on the similarity of upper approximations of transactions to merge between two or more clusters. However, in reviewing the technique, it has a weakness in terms of processing time in obtaining web clusters. In this paper, an alternative technique for grouping web transactions using rough set theory, named RMF is proposed. It is based on the rough membership function of a transaction similarity class with respect to the other classes. The two UCI benchmarks datasets are opted in the experimental processes. The experimental results reveal that the proposed technique has an benefit of low time complexity as compared to the baseline technique up to 67 % SERSC 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7504/1/RMF-_Rough_Set_Membership_Function-based_for_Clustering_Web_Transactions.pdf Herawan, Tutut and Wan Maseri, Wan Mohd (2013) RMF: Rough Set Membership Function-based for Clustering Web Transactions. International Journal of Multimedia and Ubiquitous Engineering (IJMUE), 8 (6). pp. 105-118. ISSN 1975-0080 http://dx.doi.org/10.14257/ijmue.2013.8.6.11 DOI: 10.14257/ijmue.2013.8.6.11
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Herawan, Tutut Wan Maseri, Wan Mohd RMF: Rough Set Membership Function-based for Clustering Web Transactions
description	One of the most important techniques to improve information management on the web in order to obtain better understanding of user's behaviour is clustering web data. Currently, the rough approximation-based clustering technique has been used to group web transactions into clusters. It is based on the similarity of upper approximations of transactions to merge between two or more clusters. However, in reviewing the technique, it has a weakness in terms of processing time in obtaining web clusters. In this paper, an alternative technique for grouping web transactions using rough set theory, named RMF is proposed. It is based on the rough membership function of a transaction similarity class with respect to the other classes. The two UCI benchmarks datasets are opted in the experimental processes. The experimental results reveal that the proposed technique has an benefit of low time complexity as compared to the baseline technique up to 67 %
format	Article
author	Herawan, Tutut Wan Maseri, Wan Mohd
author_facet	Herawan, Tutut Wan Maseri, Wan Mohd
author_sort	Herawan, Tutut
title	RMF: Rough Set Membership Function-based for Clustering Web Transactions
title_short	RMF: Rough Set Membership Function-based for Clustering Web Transactions
title_full	RMF: Rough Set Membership Function-based for Clustering Web Transactions
title_fullStr	RMF: Rough Set Membership Function-based for Clustering Web Transactions
title_full_unstemmed	RMF: Rough Set Membership Function-based for Clustering Web Transactions
title_sort	rmf: rough set membership function-based for clustering web transactions
publisher	SERSC
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/7504/ http://umpir.ump.edu.my/id/eprint/7504/ http://umpir.ump.edu.my/id/eprint/7504/ http://umpir.ump.edu.my/id/eprint/7504/1/RMF-_Rough_Set_Membership_Function-based_for_Clustering_Web_Transactions.pdf
first_indexed	2023-09-18T22:04:10Z
last_indexed	2023-09-18T22:04:10Z
_version_	1777414596259217408

RMF: Rough Set Membership Function-based for Clustering Web Transactions

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