A graph-based web usage mining method considering client side data

Mehdi Heydari, Raed Ali Helal, Khairil Imran Ghauth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

To improve website, we need to evaluate current usage of it. Web usage mining and statistical analysis are two ways to evaluate usage of website. The combination of web usage mining and statistical analysis gives more accurate information about web usage. Through web usage mining methods, graph mining covers complex web browsing behaviors such as parallel browsing. Through statistical analysis methods, analyzing page browsing time gives valuable information about website and its users. This paper presents a web usage mining method which combines web usage mining and statistical analysis considering client side data. In other words, it combines graph based web usage mining and browsing time analysis with taking client side data into account. It helps us to reconstruct user session exactly as it has been and based on these data, we find web usage patterns with more accuracy.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
Pages147-153
Number of pages7
Volume1
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 - Selangor
Duration: 5 Aug 20097 Aug 2009

Other

Other2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009
CitySelangor
Period5/8/097/8/09

Fingerprint

Statistical methods
Websites
World Wide Web

Keywords

  • Client side web usage data
  • Graph based web usage mining
  • Page browsing time

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Heydari, M., Helal, R. A., & Ghauth, K. I. (2009). A graph-based web usage mining method considering client side data. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 (Vol. 1, pp. 147-153). [5254802] https://doi.org/10.1109/ICEEI.2009.5254802

A graph-based web usage mining method considering client side data. / Heydari, Mehdi; Helal, Raed Ali; Ghauth, Khairil Imran.

Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. p. 147-153 5254802.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Heydari, M, Helal, RA & Ghauth, KI 2009, A graph-based web usage mining method considering client side data. in Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. vol. 1, 5254802, pp. 147-153, 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009, Selangor, 5/8/09. https://doi.org/10.1109/ICEEI.2009.5254802
Heydari M, Helal RA, Ghauth KI. A graph-based web usage mining method considering client side data. In Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1. 2009. p. 147-153. 5254802 https://doi.org/10.1109/ICEEI.2009.5254802
Heydari, Mehdi ; Helal, Raed Ali ; Ghauth, Khairil Imran. / A graph-based web usage mining method considering client side data. Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009. Vol. 1 2009. pp. 147-153
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