COCOA: compressed continuity analysis for temporal databases

  • Authors:

  • Kuo-Yu Huang;Chia-Hui Chang;Kuo-Zui Lin

  • Affiliations:

  • National Central University, Chung-Li, 320, Taiwan;National Central University, Chung-Li, 320, Taiwan;National Central University, Chung-Li, 320, Taiwan

  • Venue:
  • PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
  • Year:
  • 2004

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Abstract

A continuity is a kind of inter-transaction association which describes the relationships among different transactions. Since it breaks the boundaries of transactions, the number of potential itemsets and the number of rules will increase drastically. In this paper we consider the problem of discovering frequent compressed continuity patterns, which have the same power as mining the complete set of frequent continuity patterns. We devised a three-phase algorithm, COCOA, for frequent compressed continuity mining.