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关联规则挖掘方法研究 被引量:2

The Method Research of Mining Association Rules
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摘要 关联规则是数据挖掘研究的一个重要分支。阐述了关联规则的基本概念、关联规则挖掘的基本模型;详细分析了关联规则挖掘的经典算法-Apriori算法,Apriori算法核心思想、性能分析及其改进技术。 Association rules is an important branch of the research of The Data Mining.The paper illustrates the basic concepts and the basic model in mining association rules.It also detailedly analyzes the classic algorithm in mining association rules-Apriori.Finally,the paper discusses the main concept and the performance analysis and the improve of technology of Apriori.
作者 刘凯 彭国志 LIU Kai, PENG Guo-zhi (Anhui University of Technology,Ma'anshan 243000,China)
出处 《电脑知识与技术》 2010年第02Z期1029-1031,共3页 Computer Knowledge and Technology
关键词 关联规则 APRIORI算法 数据挖掘 频繁项目集 association rules apriori algorithm data mining frequent itemsets
作者简介 刘凯(1984-),男,河北保定人,安徽工业大学学生,硕士,主要研究方向为数据挖掘; 彭国志(1979-),男,安徽合肥人,安徽工业大学学生,硕士,主要研究方向为图像处理。
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  • 1胡吉明,鲜学丰.挖掘关联规则中Apriori算法的研究与改进[J].计算机技术与发展,2006,16(4):99-101. 被引量:59
  • 2Chen M S,Han J W,Yu P S. Data Mining: An Overview from a Database Perspective[ J]. IEEE Transactions on Knowledge and Data Engineering, 1996,8 (6) : 866 - 883.
  • 3Han J W,Kamber M. Data Mining Concepts and Techniques[ M]. Beijing: Higher Education Press,2001.
  • 4Agrawal R, Srikant R. Fast algorithms for mining association rules in large databases [ C ]. Proceedings of the 20th International Conference on Very Large Data Bases, September 1994.
  • 5Han E H, Karypis G, Kumar V. Scalable parallel data mining for association rules[ C ]. ACM SIGMOD International Conference on Management of Data, May, 1997.
  • 6Agrawa! R, Imielinski T, Swami A. Mining association rules between. sets of items in large databases[ C ]. Proceedings of the ACM SIGMOD International Conference on Management of Data ; May, 1993.
  • 7Wur S Y, Leu Y H. An effective Boolean algorithm for mining association rules in large databases [ C ]. Database Systems for Advanced Applications, 1999 : Proceedings, 6th International Conference, April, 1999:19 -21.
  • 8Li S, Hong S, Ling C. New algorithms for efficient mining of association rules [ C]. Proceedings of the 7^th Symposium on the Frontiers of Massively Parallel Computation, February, 1999.
  • 9Park J S,Chen M S,Yu P S. Using a hash-based method with transaction trimming for mining association rules[ J]. Knowledge and Data Engineering, IEEE Transactions 1997,9(5 ) : 813 - 825.
  • 10陈安,陈宁,周龙骧.数据挖掘技术与应用[M].北京:科学出版社,2006.

共引文献119

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  • 1梅强,张冬茉.数据挖掘在保险分析中的应用[J].计算机工程,2004,30(B12):571-573. 被引量:2
  • 2梁循.数据挖掘:建模、算法、应用和系统[J].计算机技术与发展,2006,16(1):1-4. 被引量:40
  • 3杨学兵,安红梅.一种高效的关联规则增量式更新算法[J].计算机技术与发展,2007,17(1):108-110. 被引量:5
  • 4陈钟.数据挖掘在保险业中的应用与研究[D].南宁:广西大学,2005:19-20.
  • 5Raymond Lingand David C.Yen Customer Relationship Management:An Analysis Framework and Implementation Strategies[J].Journal of Computer Information System,SPring,2001:82-97.
  • 6Ming-Syan Chen,Jiawei Han,Philip S Yu.Data Mining:An Overview from a Database Perspective[J].IEEE Transactions On Knowledge and Data Engineering,1996,8(6):866-883.
  • 7Salvatore Ruggieri.Efficient C4.5[J].IEEE Transactions on Knowledge and Data Engineering,2002,14(2):438-444.
  • 8D.W.Cheung, J.Han, V.T.Ng. Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Tech- nique[C].Proceedings of the 12th international conference on Data Engineering, 1996:212-223.
  • 9T.F.Gharib, M.Taha, and H.Nassar, "An efficient technique for incremental updating of association rules. " International Journal of Hybrid Intelligent Systems,pages 45-53,May 2008.
  • 10冯玉才,冯剑琳.关联规则的增量式更新算法[J].软件学报,1998,9(4):301-306. 被引量:227

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