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

• Type: Conference
• Year: 2005
• Where: WWW
• Authors: Jian Chih Ou, Chang-Hung Lee, Ming-Syan Chen
• Keywords: Internet Technology, Mining Path Traversal, Path Traversal Pattern, Web Traversal Patterns, WWW 2005