期刊文献+

基于FP-tree的快速构建算法 被引量:2

Fast construction algorithm based on FP-tree
下载PDF
导出
摘要 数据库的访问频度是影响关联规则挖掘性能的关键因素之一。通过研究FP-tree算法,提出了一种基于FP-tree的快速构建算法,使FP-tree的构建过程仅需一次数据库扫描。该算法通过动态调整项头表中各项的顺序,同时动态修正FP-tree中项的出现顺序与项头表中各项出现顺序不一致的节点。最后,通过对项头表中非频繁项的剔除与FP-tree中对应项节点的清理,完成FP-tree的构建过程。实验结果证明了该算法的有效性。 Access frequency of database is one of the key factors to affect association rule mining performance.With the analysis of FP-tree,a fast construction algorithm based on FP-tree was proposed in this paper to scan database only one time.It dynamically adjusted not only the order of items in Item Entry Table(IET),but also the order of nodes in FP-tree whose order was not consistent with the order of nodes in IET.Finally,it removed the un-frequent items in the IET with related nodes in FP-tree,and completed the construction of FP-tree.The experimental results validate the efficiency of the new algorithm.
出处 《计算机应用》 CSCD 北大核心 2011年第2期438-440,453,共4页 journal of Computer Applications
基金 湖南省教育厅科研项目(10C040907B007) 长沙市科技计划项目(K0902210-11)
关键词 关联规则 项头表 频繁项 association rule Item Entry Table(IET) frequent item
  • 相关文献

参考文献10

  • 1AGRAWAL R, SRIKANT R. Fast algorithms for mining association rules in large databases[ C] // Proceedings of the 20th VLDB Conference. Santiago de Chile: Morgan Kaufmann, 1994:487 -499.
  • 2ttAN J W, PEI J, YIN Y W, et al. Mining frequent patterns without candidate generations[ C] //Proceedings of the 2000 ACM SIGMOD International Conference on Management of data. New York: ACM. 2000:1 - 12.
  • 3颜跃进,李舟军,陈火旺.基于FP-Tree有效挖掘最大频繁项集[J].软件学报,2005,16(2):215-222. 被引量:68
  • 4王黎明,赵辉.基于FP树的全局最大频繁项集挖掘算法[J].计算机研究与发展,2007,44(3):445-451. 被引量:16
  • 5姜晗,贾泂.基于标记域FP-Tree快速挖掘最大频繁项集[J].计算机研究与发展,2007,44(z2):334-349. 被引量:4
  • 6LIN WENYANG, HUANG KOWEI. MCFPTree: A FP-tree-based algorithm for multi-constrained patterns discovery[ C] // International Conference on Complex, Intelligent and Software Intensive Systems. Washington, DC: IEEE Computer Society, 2009: 105- 111.
  • 7LIN C W, HONG T P, LU W H. Linguistic data mining with fuzzy FP-trees[ J]. Expert System with Applications, 2010, 37(6) : 4560 - 4567.
  • 8SRINIVASULU P , RAO J R , BABU I R . Network intrusion detection using FP tree rules[ J]. Journal of Advanced Networking and Applications, 2009, 1(1) : 30 - 39.
  • 9ADNAN M, ALHAJJ R, BARKER K. Constructing complete FP- tree for incremental mining of frequent patterns in dynamic databases [C]// Advances in Applied Artificial Intelligence, LNCS 4031.Berlin: Springer-Verlag, 2006:363-372.
  • 10TANBEER S K, AHMED C F, JEONG B S. Parallel and distributed frequent pattern mining in large databases[ C] //2009 11th IEEE International Conference on High Performance Computing and Communications. Washington, DC: IEEE Computer Society, 2009:407-414.

二级参考文献32

  • 1陆介平,杨明,孙志挥,鞠时光.快速挖掘全局最大频繁项目集[J].软件学报,2005,16(4):553-560. 被引量:27
  • 2赵辉,王黎明.一个基于网格服务的分布式关联规则挖掘算法[J].小型微型计算机系统,2006,27(8):1544-1548. 被引量:9
  • 3[1]R Agrawal,R Srikant.Fast Algorithms for Mining Association Rules.The 20th Int'l Conf on VLDB,Santiago,1994
  • 4[2]J Han,J Pei,Y Yin.Mining frequent patterns without candidate generation.ACM SIGMOD'2000,Dallas,TX,2000
  • 5[3]R Bayardo.Efficiently mining long patterns from databases.In:Proc of the ACM SIGMOD Int'l Conf on Management of Data.New York:ACM Press,1998
  • 6[6]G Grahne,J F Zhu.High performance mining of maximal frequent itemsets.The 6th SIAM Int'l Workshop on High Performance Data Mining (HPDM 2003),San Francisco,CA,2003
  • 7宋余庆 朱玉全 孙志辉 陈耿.基于FP—Tree的最大频繁项集挖掘及其更新算法.软件学报,2003,14(9):1586—1592[J].http://wwwjos.org.cn/1000-9825/14/1586.htm,:.
  • 8Agrawal R, Srikant R. Fast algorithms for mining association rules. In: Proc. of the 20th Int'l Conf. on VLDB. 1994. 487-499.http://www.almaden.ibm.conVcs/people/srikant/papers/vldb94.pdf.
  • 9Bayardo R. Efficiently mining long patterns from databases. In: Haas LM, ed. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data. New York: ACM Press, 1998. 85-93.
  • 10Burdick D, Calimlim M, Gehrke J. Mafia: A maximal frequent itemset algorithm for transactional databases. In: Proc. of the 17th Int'l Conf. on Data Engineering. 2001. 443-452. http://www.cs.cornell.edu/boom/2001 sp/yiu/mafia-camera.pdf.

共引文献83

同被引文献17

引证文献2

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部