Mining weighted partial periodic patterns

Kung Jiuan Yang, Tzung Pei Hong, Yuh Min Chen, Guo Cheng Lan

研究成果: Chapter

摘要

In the data mining area, partial periodic pattern mining has become an important issue in many business applications. Although weighted sequential pattern mining algorithms have been widely discussed, until now, there is no further discussion in the field of weighed partial periodic pattern mining. Thus, this work introduces a new research issue, named weighted partial periodic pattern mining, which considers the individual significances of events in an event sequence. In addition, a projection-based mining algorithm is presented to effectively handle the weighted partial periodic pattern mining problem. The experimental results show the proposed algorithm is efficient.

原文English
主出版物標題Springer Proceedings in Complexity
發行者Springer
頁面47-54
頁數8
DOIs
出版狀態Published - 2013 1月 1

出版系列

名字Springer Proceedings in Complexity
ISSN(列印)2213-8684
ISSN(電子)2213-8692

All Science Journal Classification (ASJC) codes

  • 應用數學
  • 建模與模擬
  • 電腦科學應用

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