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文章基本信息

  • 标题:OEOP: A Novel Algorithm for Periodic Pattern Mining
  • 本地全文:下载
  • 作者:Jieh-Shan Yeh ; Szu-Chen Lin ; Shueh-Cheng Hu
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2012
  • 卷号:5
  • 期号:2
  • 出版社:SERSC
  • 摘要:Research on periodic pattern mining has gained a great attention in the past decade. Periodic pattern mining discovers valid periodic patterns in a time-related dataset. This study proposed an efficient 2-D linked structure and the OEOP (One Event One Pattern) algorithm to discover all kinds of valid segments in each single event sequence. Then, this study combines these valid segments found by OEOP into 1-patterns with multiple events, and multiple patterns with multiple events periodic patterns. The experimental results show that the proposed algorithm has good performance and scalability
  • 关键词:Periodic pattern; asynchronous sequence; data mining; pattern mining; ;sequential pattern
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