Communications for Statistical Applications and Methods

  • 제8권1호
  • /
  • Pages.271-279
  • /
  • 2001
  • /
  • 2287-7843(pISSN)
  • /
  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

Tree-based Navigation Pattern Analysis

  • Choi, Hyun-Jip (Department of Applied Information Statistics, Kyonggi University)
  • 발행 : 2001.04.01
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초록

Sequential pattern discovery is one of main interests in web usage mining. the technique of sequential pattern discovery attempts to find inter-session patterns such that the presence of a set of items is followed by another item in a time-ordered set of server sessions. In this paper, a tree-based sequential pattern finding method is proposed in order to discover navigation patterns in server sessions. At each learning process, the suggested method learns about the navigation patterns per server session and summarized into the modified Rymon's tree.

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참고문헌

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