Mining Web usage using FRS
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 minin...
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| Format: | Proceeding Paper |
| Language: | English English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Online Access: | http://irep.iium.edu.my/72767/ http://irep.iium.edu.my/72767/1/72767_Mining%20Web%20Usage%20Using%20FRS.pdf http://irep.iium.edu.my/72767/2/72767_Mining%20Web%20Usage%20Using%20FRS_SCOPUS.pdf http://irep.iium.edu.my/72767/3/72767_Mining%20Web%20Usage%20Using%20FRS_WOS.pdf |
| _version_ | 1848787675925970944 |
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| author | Omar, Rosli Abdullah, Zainatul Shima |
| author_facet | Omar, Rosli Abdullah, Zainatul Shima |
| author_sort | Omar, Rosli |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T17:28:42Z |
| format | Proceeding Paper |
| id | iium-72767 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T17:28:42Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-727672019-06-21T02:16:39Z http://irep.iium.edu.my/72767/ Mining Web usage using FRS Omar, Rosli Abdullah, Zainatul Shima T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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. Institute of Electrical and Electronics Engineers Inc. 2018-12-06 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/72767/1/72767_Mining%20Web%20Usage%20Using%20FRS.pdf application/pdf en http://irep.iium.edu.my/72767/2/72767_Mining%20Web%20Usage%20Using%20FRS_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/72767/3/72767_Mining%20Web%20Usage%20Using%20FRS_WOS.pdf 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. https://ieeexplore.ieee.org/document/8567138 10.1109/ICT4M.2018.00062 |
| spellingShingle | T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Omar, Rosli Abdullah, Zainatul Shima Mining Web usage using FRS |
| title | Mining Web usage using FRS |
| title_full | Mining Web usage using FRS |
| title_fullStr | Mining Web usage using FRS |
| title_full_unstemmed | Mining Web usage using FRS |
| title_short | Mining Web usage using FRS |
| title_sort | mining web usage using frs |
| topic | T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/72767/ http://irep.iium.edu.my/72767/ http://irep.iium.edu.my/72767/ http://irep.iium.edu.my/72767/1/72767_Mining%20Web%20Usage%20Using%20FRS.pdf http://irep.iium.edu.my/72767/2/72767_Mining%20Web%20Usage%20Using%20FRS_SCOPUS.pdf http://irep.iium.edu.my/72767/3/72767_Mining%20Web%20Usage%20Using%20FRS_WOS.pdf |