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构建基于关联规则的网络行为挖掘系统 被引量:3

Building Association Rules-based Network Behaviors Mining System
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摘要 随着互联网络的普及,采集并分析用户群体的网络行为十分必要,但是存在着很多技术上的困难。构建了一个网络行为挖掘系统,对访问数据进行分析,根据挖掘结果对关联规则进行修改,并针对特定用户群对服务器进行调优。 As the popular of networking, it's necessary to collect and analysis network behaviors of certain user group. A network behaviors mining system be try to build based on association rules to analysis access data,modify the association rules, and tuning performance of servers.
作者 陈娟
出处 《科学技术与工程》 2007年第13期3292-3295,3302,共5页 Science Technology and Engineering
关键词 网络行为 数据挖掘 关联规则 network behaviors datamining association rules
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  • 1网景盛世技术开发中心.WebCateCPS互联网情报采集软件[EB/OL].http://www.webcate.net/solution.htm,2002-10.
  • 2中国期刊网CNKI数字图书馆.Ⅲ网络信息集成系统[EB/OL].http://211.151.90.152/3i/product.htm,2003-10.
  • 3Mobasher B., Cooley R., Srivastava, J. Automatic personalization based on Web usage mining [ J ].Communication of the ACM, 2000,43 (8) : 142 -151.
  • 4Pierrakos D., Paliouras G., Papatheodorou .C. Web usage mining as a tool for personalization: A survey[J]. User, Modeling and User- Adapted Interaction, 2003,13:311 - 372.
  • 5Yew- Kwong Woon, Wee- Keong Ng, Xiang Li.Efficient Web log mining for product development[A]. In Proceedings 2003 International Conferenceon Cyberworlds[C].2003:294 - 301.
  • 6Srivastava J., Cooley R., Deshpande M. Web usage mining: discovery and applications of usagepatterns from web data[ A ]. in Proceedings of the ACM SIGKDD Explorations[C].ACM Press, 2000, 1(2) : 12 -23.
  • 7Agrawal R, Imielinski T, Swami A. Mining Association Rules Between Sets of Items in Large Databases[J]. In:Proceedings of ACM SIGMOD Conference on Management of Data, 1993:207-216
  • 8Agrawal R, Srikant R. Fast Algorithms for Mining Association Rules [J]. In: Proceedings of International Conference on Very Large Databases, 1994:487-499
  • 9Han J, Pei J, Yin Y. Mining Frequent Patterns Without Candidate Generation. In: Proc. ofACM-SIGMOD Conference, 2000: 1-12
  • 10Wang K, Tang L, Han J, et al. Top Down FP-growth for Association Rule Mining. In: Proceedings of PAKDD2002, 2002:334-340

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