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多序列环境下的序列模式挖掘算法

Mining Sequence Patterns in Multi-sequence
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摘要 本文通过在传统序列模式中加入了多序列限制,提出了多序列模式的概念。在Prefixspan算法的基础上,增加基于多序列约束的剪枝技术,实现了多序列环境下的多序列模式挖掘算法(MS_Prefixspan)。实验结果表明,该算法的时间性能要优于Prefixspan算法,并且能够有效减少模式的数量,使得挖掘结果更具目标性。 This paper put forward the concept of multiple sequential patterns by adding multi-sequence constraint on the traditional sequential patterns. Based on the Prefixspan algorithm we designed multiple sequential patterns mining algorithm (MS_Prefixspan). The MS_Prefixspan algorithm use pruning technique of multiple sequence constraint. The experimental results show that our proposed algorithm outperforms Prefixspan,and can reduce the number of patterns,making mining results more targeted.
出处 《微计算机信息》 2010年第36期195-196,58,共3页 Control & Automation
关键词 数据挖掘 序列模式挖掘 多序列模式 Data Mining Sequential patterns mining Multiple Sequential patterns
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参考文献6

  • 1Agrawal, R. and Srikant, R., "Mining Sequential Patterns," in Proc. of the 1 lth Int' l Conf. on Data Engineering. 1995,p3-14.
  • 2J.T. Lee , Huei-Wen Wu, Tzu-Yu Lee et al,. Mining closed patterns in multi-sequence time-series databases [J]. Data & Knowledge Engineering, 2009 68:p1071-1090.
  • 3Gong Chen, Xindong Wu, Xingquan Zhu. Mining Sequential Patterns across Time Sequences [J]. New Generation Computing, 2008, 26:p75-96.
  • 4Pei Jian, Han Jiawei. Mining Sequential Patterns by Pattergrowth : The PrefixSpan Approach [J]. IEEE Transactions on Knowledge and Data Engineering, 2004 , 6(10): p1-17.
  • 5JiaweiHan,MichelineKamber.数据挖掘:概念与技术(英文版.第2版)[M]北京:机械工业出版社,2006.
  • 6黄小红,陈丽华,王倩,戴昕.多属性约束事件序列的关联规则挖掘方法[J].微计算机信息,2009,25(3):187-188. 被引量:4

二级参考文献4

  • 1朱立运,朱建秋.带时间特征的序列模式挖掘算法TESP[J].计算机工程,2004,30(10):51-53. 被引量:3
  • 2PEI J, HAN J, MORTAZAV I2ASL B, et al. PrefixSpan: Mining Sequential Patterns by Prefix - Projected Growth [A]. Proceedings of 17th IEEE International Conf on Data Engineering [C]. Heidelberg, Germany, 2001. 215 - 224.
  • 3Pei Jian, Han Jia-wei. Mining sequential patterns by pattergrowth: the PrefixSpan approach [J]. IEEE Transactions on Knowledge and Data Engineering, 2004, 16(11): 1424- 1440.
  • 4汤茂斌,陈业智,李就好.数据挖掘技术在辅助决策系统中的应用[J].微计算机信息,2008,24(21):105-106. 被引量:3

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