Mining frequent tree-like patterns in large datasets

  • Authors:
  • Tzung-Shi Chen;Shih-Chun Hsu

  • Affiliations:
  • Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan;Department of Information and Learning Technology, National University of Tainan, Tainan, Taiwan

  • Venue:
  • DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
  • Year:
  • 2005

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Abstract

In this paper, we propose a novel data mining scheme to explore the frequent hierarchical structure patterns, named tree-like patterns, with the relationship of each item on a sequence. By tree-like patterns, we are clear to find out the relation of items between the cause and effect. Finally, we discuss the different characteristics to our mined patterns with others. As a consequence, we can find out that our addressed tree-like patterns can be widely used to explore a variety of different applications.