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序列模式的性质研究 被引量:1

Study on Properties of Sequential Patterns
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摘要 序列模式挖掘是数据挖掘中一个重要研究方向,具有广泛的应用背景.序列模式挖掘会产生大量的模式,使得人们很难利用它们.提出上、下闭序列模式的概念,并得到上、下闭序列模式及其它们之间的若干性质,为解决序列模式的数量问题提供理论基础. Sequential pattern mining, which has broad applications, is one of key research areas in data mining. The traditional sequential patterns mining framework produces a large number of patterns which make it very difficult for people to use them. The notations of upper and lower closed sequential pattern of a sequence are presented and some properties of them are obtained, which can offer a theoretical basis for solving the problem of the number of sequential pattern mining.
出处 《复旦学报(自然科学版)》 CAS CSCD 北大核心 2004年第5期758-760,共3页 Journal of Fudan University:Natural Science
基金 国家自然科学基金资助项目(60074014)
关键词 序列模式挖掘 数据挖掘 应用背景 性质研究 data mining database sequential pattern
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参考文献7

  • 1Agrawal R, Scikant R. Mining sequential patterns[A]. Proc of Int Conf of Data Eng[C]. Taipei, Taiwan: IEEE Press, 1995. 3-14.
  • 2Srikant R, Agrawal R. Mining sequential patterns: Generalizations and performance improvements[A]. Proc of the Fifth Int Conf on Extending Database Technology[C]. Avignon, France: Springer, 1996. 3-17.
  • 3Han J, Kamber M. Data mining: Concepts and techniques[M]. San Mateo, CA: Morgan Kaufmann, 2001.
  • 4Pei J, Han J, Wang W. Mining sequential patterns with constraints in large databases[A]. Proc of Int Conf on Information and Knowledge Management[C]. Washington D C: ACM Press, 2002. 18-25.
  • 5Han J, Wang J, Lu Y, et al. Mining top-k frequent closed patterns without minimum support[A]. Proc 2002 Int Conf on Data Mining[C]. Maebashi, Japan: IEEE Press, 2002. 211-218.
  • 6Yan X F, Han J, Afshar R. Clospan: Mining closed sequential patterns in large databases[A]. Proc of SIAM Int Conf on Data Mining[C]. San Francisco, CA: ACM/SIAM Press, 2003. 166-177.
  • 7欧阳为民,蔡庆生.发现广义序贯模式的增量式更新技术[J].软件学报,1998,9(10):777-780. 被引量:12

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共引文献11

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  • 1李爱国,覃征.滑动窗口二次自回归模型预测非线性时间序列[J].计算机学报,2004,27(7):1004-1008. 被引量:12
  • 2Jiawei Han.Micheline Kamber.Data Mining Concepts and Techniques[M].Morgan Kaufmann Publishers,2000-08.
  • 3Ming-Yen Lin,Suh-Yin Lee.Improving the efficiency of interactive sequential pattern mining by incremental pattern discovery[C].In:Proc of the 36th Int Conf on System Sciences(HICSS'03),Los Alamitos CA:IEEE Computer Society Press,2003.
  • 4X Yan,J Han,R Afshar CloSpan.Mining Closed Sequential Patterns in Large Datasets[C].In:Proc 2003 SIAM Int Conf on Data Mining (SDM'03) ,San Fransisco ,2003.
  • 5Shuai Ma. Shiwei Tang,Dongqing Yang.Incremental maintenance of discovered mobile user maximal moving sequentail patterns[C].In:Proc of the 9th Int Conf on Database Systems for Advanced Applications (DASFAA'04), Berlin :Spinger,2004.
  • 6H Cheng,X Yan,J Han.Incremental Mining of Sequential Patterns in Large Database[C].In:Proe 2004 Int Conf on Knowledge Discovery and Data Mining (KDD'04),Seattle,2004.
  • 7BruceL_BowermanRichardTo Connell.预测与时间序列(英文版)[M].机械工业出版社,2003..
  • 8靳晓明,陆玉昌,石纯一.序列中的一般化局部序列模式发现(英文)[J].软件学报,2003,14(5):970-975. 被引量:4

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