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基于三元互关联后继树的Web日志挖掘 被引量:1

WEB LOG MINING BASED ON TERNARY INTER-RELATED SUFFIX TREE
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摘要 针对二元的互关联后继树模型进行改进,构造三元互关联后继树,并结合Web日志的特点,构造Web事务集的互关联后继树和增量更新模型,设计基于三元互关联后继树的频繁路径挖掘算法,挖掘Web日志中的频繁路径。通过实验证明了基于三元互关联后继树和改进后的模型的出色插入查询性能。 In this paper we constructed a ternary inter-related suffix tree based on the improvement of binary inter-related suffix tree model,and constructed the inter-related suffix tree of web transactions and its incremental refreshing model in combination with the characteristics of Web logs,we also devised a frequent paths mining algorithm based on the ternary inter-related suffix tree to mine the frequent paths in Web logs.Through the experiments we demonstrated the superb performance of insertion query of the improved model which is based on the ternary inter-related suffix tree.
出处 《计算机应用与软件》 CSCD 2011年第10期50-54,共5页 Computer Applications and Software
基金 国家自然科学基金(60773100) 河北省教育厅科研计划项目(2006143)
关键词 WEB日志挖掘 WEB事务 互关联后继树 频繁路径 Web log mining Web transaction Inter-related suffix tree Frequent paths
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  • 1许长成,赵世杰,邹琦,程炳嵩.植物膜脂过氧化水平硫代巴比妥酸测定法中的干扰因素[J].植物生理学通讯,1993,29(5):361-363. 被引量:28
  • 2安建平,陈靠山,周樊.氯化钕对渗透胁迫引起的膜损伤和ABA含量的影响[J].中国稀土学报,1994,12(4):348-351. 被引量:31
  • 3[1]Han J, Pei J, Yi Y. Mining Frequent Patterns Without Candidate Generation. Proc. of 2000 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD' 00), 2000:1-12 被引量:1
  • 4[2]Han J, Pei J. Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. ACM SIGKDD Explorations (Special Issue on Scaleble Data Mining Algorithms), 2000, 2(2): 14-20 被引量:1
  • 5[3]Agrawal R, Srikant R. Fast Algorithms for Mining Association Rules.Proc. ofInt. Conf. on Very Large Data Bases, 1994:487-499 被引量:1
  • 6刘恒潜译.稀土在催化中的应用[M].北京:科学出版社,1987.151. 被引量:2
  • 7B.Mobasher,N.Jain,E.H.Han,and J.Srivastava,Web mining:Pattern discovery from world wide web transactions.Technical Report TR-96050,Department of Computer Science,University of Minnesota,Minneapolis,1996. 被引量:1
  • 8Cooley,R.,Tan,P.-N., and Srivastava,J.,Websift:the Web site information filter system.In Proceedings of the 1999 KDD Workshop on Web Mining,San Diego,CA.Springer-Verlag,1999. 被引量:1
  • 9Myra Spiliopoulou and Lukas Faulstich,C.WUM:A Tool for Web Utilization Analysis.In EDBT Workshop WebDB′98,Valencia,Spain,Mar.1998. 被引量:1
  • 10Rakesh Agrawal,Tomasz Imielinski,and Arun Swami,Mining association rules between sets of items in large database.In Proc.of the ACM SIGMOD Conference on Management of Data,pages 207-216,Washington,D.C.,May 1993. 被引量:1

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