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序列模式挖掘在网络业务流分析中的应用 被引量:3

Sequential pattern mining for network traffic anlysis
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摘要 网络业务流分析是为了适应网络优化的需要而出现的分析方法。把一种新的序列模式挖掘算法用于网络业务流分析 ,对网络业务的模式进行挖掘 ,性能上优于以往的算法。 It is important to optimize network performance by analyzing network traffic data. This paper introduced a new sequential pattern mining algorithm based on projection database for network traffic analysis. It is more effective than the past algorithm in network traffic pattern mining.
出处 《计算机应用》 CSCD 北大核心 2004年第8期66-68,共3页 journal of Computer Applications
关键词 序列模式挖掘 网络业务流分析 PREFIXSPAN sequential pattern mining traffic analysis PrefixSpan
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参考文献6

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共引文献4

同被引文献11

  • 1刘晓东.数据挖掘在图书馆工作中的应用[J].情报杂志,2005,24(8):63-65. 被引量:29
  • 2Pei J,Han J,Mortazavi-Asl B.et a1.PrefixSpan:Mining sequential patterns efficiently by prefix-projected pattern growth[C].In Proceedings of 17th International Conference on Data Engineering,April 2001,215~224
  • 3Pinto H.Hart J,Pci J.Wang K,Chen Q,Dayal U.Multi.dimensional sequential pattern mining[C].In Proceedings of 10th International Conference on Information and knowledge managemen,October 2001,81-88
  • 4Han J.Dong G and Yin Y.Efficient mining of panel periodic patterns in time series database[C].In Proceedings of International Conference Data Engineering(ICDE99),March 1999,105~115
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  • 6Mahoney M,Chan P K.Learning Non stationary Models of Normal Network Traffic for Detection Novel Attacks.SIGKDD'02,Edmonton,Alberta,Canada,July2002
  • 7[美]Claude Seidman Date Mining with Microsoft SQL Sever 2000 Technical Reference.机械工业出版社
  • 8王兴鹏,沙金.利用Apriori算法进行序列模式挖掘[J].现代计算机,2002,8(10):14-16. 被引量:1
  • 9栾东庆,徐素琴.PrefixSpan算法在多维序列模式挖掘中的应用[J].微机发展,2003,13(8):83-86. 被引量:3
  • 10李庆华,童健华,孟中楼,张薇.基于数据挖掘的入侵特征建模[J].计算机工程,2004,30(8):51-53. 被引量:5

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