Traversal pattern mining in web environment

  • Authors:
  • MinSeok Jang;Weon-Goo Kim;Yon-sik Lee;Jongwook Woo

  • Affiliations:
  • Dept. of Computer Information Science, Kunsan National Univ., Kunsan, CheonBuk, Korea;School of Electronic and Information Eng., Kunsan National Univ., Kunsan, CheonBuk, Korea;Dept. of Computer Information Science, Kunsan National Univ., Kunsan, CheonBuk, Korea;Computer Information Systems Dept., California State Univ., Los Angeles, CA

  • Venue:
  • WINE'05 Proceedings of the First international conference on Internet and Network Economics
  • Year:
  • 2005

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Abstract

There have been researches about analyzing the information retrieval patterns of log file to obtain users’ information search patterns in web environment. Algorithms that find the frequently traversed path pattern from search path inputs are suggested mainly. But one of the existing works’ problems is to provide inadequate solution for complex, that is, general topological patterns. This paper suggests an efficient algorithm for deriving the maximal frequent traversal pattern from general paths.