An Efficient Approach for Analyzing User Behaviors in a Web-Based Training Environment

An Efficient Approach for Analyzing User Behaviors in a Web-Based Training Environment

Show-Jane Yen (Fu Jen Catholic University, Taiwan)
Copyright: © 2003 |Pages: 17
DOI: 10.4018/jdet.2003100104
OnDemand PDF Download:
List Price: $37.50


Mining frequent traversal patterns is to discover the consecutive reference paths traversed by a sufficient number of users from Web logs in a Web environment where users can travel from one object to another through the corresponding hyperlinks. Previous approaches for mining frequent traversal patterns only consider the forward references, such that the information about backward references will be lost. In this paper, we propose an efficient algorithm to discover the non-simple frequent traversal patterns. The non-simple frequent traversal patterns include forward and backward references, and are used to suggest potentially interesting traversal path to the users, which are useful, especially, in a Web-based training environment. The experimental results show that the discovered patterns can present the complete browsing paths traversed by most of the users and our algorithm outperforms other algorithms in discovered information and execution times.

Complete Article List

Search this Journal:
Open Access Articles: Forthcoming
Volume 17: 4 Issues (2019): Forthcoming, Available for Pre-Order
Volume 16: 4 Issues (2018): 1 Released, 3 Forthcoming
Volume 15: 4 Issues (2017)
Volume 14: 4 Issues (2016)
Volume 13: 4 Issues (2015)
Volume 12: 4 Issues (2014)
Volume 11: 4 Issues (2013)
Volume 10: 4 Issues (2012)
Volume 9: 4 Issues (2011)
Volume 8: 4 Issues (2010)
Volume 7: 4 Issues (2009)
Volume 6: 4 Issues (2008)
Volume 5: 4 Issues (2007)
Volume 4: 4 Issues (2006)
Volume 3: 4 Issues (2005)
Volume 2: 4 Issues (2004)
Volume 1: 4 Issues (2003)
View Complete Journal Contents Listing