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Jalali, M., et al. “A new clustering approach based on graph partitioning for navigation patterns mining,” in International Conference on Pattern Recognition, 2008, 1-4.

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Article

Extracting Users’Navigational Behavior from Web Log Data: a Survey

1Sama Technical and Vocational College, Islamic Azad University, Ardabil Branch, Ardabil, Iran

2Computer Engineering Department, University of Mohaghegh Ardabili, Ardabil, Iran


Journal of Computer Sciences and Applications. 2013, Vol. 1 No. 3, 39-45
DOI: 10.12691/jcsa-1-3-3
Copyright © 2013 Science and Education Publishing

Cite this paper:
Maryam Jafari, Farzad SoleymaniSabzchi, Shahram Jamali. Extracting Users’Navigational Behavior from Web Log Data: a Survey. Journal of Computer Sciences and Applications. 2013; 1(3):39-45. doi: 10.12691/jcsa-1-3-3.

Correspondence to: Farzad SoleymaniSabzchi, Sama Technical and Vocational College, Islamic Azad University, Ardabil Branch, Ardabil, Iran. Email: f_soleymani63@yahoo.com

Abstract

Web Usage Mining (WUM) is a kind of data mining method that can be used to discover user access patterns from Web log data. A lot of research has been done already about this area and the obtained results are used in different applications such as recommending the Web usage patterns, personalization, system improvement and business intelligence. WUM includes three phases that are called preprocessing, pattern discovery and pattern analysis. There are different techniques for WUM that have their own advantages and disadvantages. This paper presents a survey on some of the existing WUM techniques and it is shown that how WUM can be applied to Web server logs.

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