Paper
12 March 2002 Fast discovery of structural navigational patterns from web user traversals
Man-Kwan Shan, Hua-Fu Li
Author Affiliations +
Abstract
With progressive expansion in size and complexity of Web sites on WWW, much research has been done on the discovery of useful user traversal patterns. Most existing approaches focus on finding Web association rules, traversal paths or sequential patterns from Web logs. In this paper, we present a new pattern, Web traversal walk, for analysis of the structural navigation activities of Web users. A Web traversal walk is a structural sequence of forward and backward traversal paths. An efficient algorithm, Fast-Walk, is proposed to discover the Web traversal walks. In Fast-Walk, a tree structure is constructed in memory from Web logs and the frequent Web traversal walks are generated from the tree structure. Experimental results show the efficiency and scalability of Fast-Walk.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Man-Kwan Shan and Hua-Fu Li "Fast discovery of structural navigational patterns from web user traversals", Proc. SPIE 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, (12 March 2002); https://doi.org/10.1117/12.460237
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Mining

Databases

Data mining

Algorithm development

Computer science

Analytical research

Data analysis

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