Mining web access patterns with first-occurrence linked WAP-trees

نویسندگان

  • Peiyi Tang
  • Markus P. Turkia
  • Kyle A. Gallivan
چکیده

In this paper, we describe the concept of firstoccurrence and present a web access pattern mining algorithm based on it using a novel first-occurrence linked WAP-tree (FLWAP-tree). The first-occurrences of all symbols in the base WAP-tree of the database can be found by a pre-order traversal of a portion of the WAP-tree. The frequent patterns and their projection databases can be found quickly by following the first-occurrence links rather than following the links of the whole WAP-tree as in the PLWAP-tree mining [1]. The performance evaluation shows that our FLWAPtree mining outperforms the PLWAP-tree mining [1] consistently and significantly.

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تاریخ انتشار 2007