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2005
ACM

Web log mining with adaptive support thresholds

9 years 9 months ago
Web log mining with adaptive support thresholds
With the fast increase in Web activities, Web data mining has recently become an important research topic. However, most previous studies of mining path traversal patterns are based on the model of a uniform support threshold without taking into consideration such important factors as the length of a pattern, the positions of Web pages, and the importance of a particular pattern, etc. In view of this, we study and apply the Markov chain model to provide the determination of support threshold of Web documents. Furthermore, by properly employing some techniques devised for joining reference sequences, a new mining procedure of Web traversal patterns is proposed in this paper. Categories and Subject Descriptors H.2.8 [Database Management]: Databases Applications? Data mining. General Terms Algorithms Keywords Web mining, path traversal pattern, Markov model
Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2005
Where WWW
Authors Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen
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