document: 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 .
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