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Search name	Searched On	Run search
[in Journal: Journal of Algebra and Its Applications] AND [Keyword: Wild] (1)	2 Apr 2025	Run
[in Journal: Selected Topics in Electronics and Systems] AND [Keyword: MBE] (2)	2 Apr 2025	Run
[in Journal: Biophysical Reviews and Letters] AND [Keyword: Cell] (2)	2 Apr 2025	Run
[in Journal: International Journal of Image and Graphics] AND [Keyword: Web] (1)	2 Apr 2025	Run
[in Journal: Advances in Complex Systems] AND [Keyword: DSGE] (1)	2 Apr 2025	Run

articleNo Access
LARGE-SCALE MINING, DISCOVERY AND VISUALIZATION OF WWW USER CLICKPATHS
International Journal of Image and Graphics01 Jan 2002
Preview Abstract
Analysis of user clickstreams on the World Wide Web is made challenging by the volume of data and the difficulty of visualizing millions of different navigation paths. We present a method for identifying user clickpaths which scales well on large amounts of data, and provides an intuitive and insightful visual representation of user activity. Our technique borrows from the data mining literature on association rules and the computer graphics literature on graph layout optimization. The method is demonstrated with data from two commercial sources and paints a fascinating picture of web activity.