一种有效且无冗余的快速关联规则挖掘算法

被引:9
作者
刘乃丽
李玉忱
马磊
机构
[1] 山东大学计算机科学与技术学院
[2] 山东大学计算机科学与技术学院 山东济南
[3] 山东济南
关键词
关联规则; 频繁项集; 相关度; 冗余性;
D O I
暂无
中图分类号
TP311.13 [];
学科分类号
1201 ;
摘要
关联规则的挖掘是数据挖掘的一个重要研究领域。传统算法进行关联规则挖掘时,或者生成规则的效率很低,或者生成的关联规则之间存在着大量的冗余,或者挖掘出的规则的支持度和置信度都很高,但却是无趣的、甚至是虚假的规则,且不能产生带有否定项的规则。提出了一种新的算法MVNR(MiningValidandnon RedundantAssociationRulesAlgorithm),利用频繁项集的极小子集集合很好的解决了上述问题。
引用
收藏
页码:1396 / 1397+1404 +1404
页数:3
相关论文
共 12 条
[1]  
BeyondMarketBaskets:Generalizing Association Rules to Correlations. BR IN S,MOTWANIR,SILVERSTEIN C. In Proc1997 ACM-SIGMOD Int ConfManagement of Data (SIGMOD 97 )[C] . 1997
[2]  
Finding interesting rules from large sets of discovered association rules. KLEMETTINEN M,MANNILA H,RONKAINEN P,et al. In 3 rd Intl. Conf Information and Knowledge Management[C] . 1994
[3]  
M ining the most interesting rules. BAYARDO RJ,AGRAWAL R. In 5 th ACM SIGKDD Intl Conf on Knowledge D iscovery and DataM ining . 1999
[4]  
M ining M inimal Non-redundant Association Rules Using Frequent C losed Itemsets. BASTIDE Y,PASQUIER N,TAOUIL R,et al. Proceedings of the First International Conference on Computational Logic . 2000
[5]  
Generating non-redundant association rules. ZAKIMJ. Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data m ining . 2000
[6]  
CHARM: An efficient algorithm for closed association rule m ining. ZAKIMJ,HSIAO C -J. Technical Report 99 - 10, Computer Science Dept, Rensselaer Polytechnic Institute . 1999
[7]  
E fficientm ining of association rules using closed itemset lattices. PASQUIER N,BASTIDE Y,TAOUIL R,et al. Information Systems, 24 (1 ): 25 -46 . 1999
[8]  
A new approach to online generation of Association Rules. Aggarwal C C,Yu P S. IEEE Transactions on Knowledge and Data Engineering . 2001
[9]  
Online Generation ofProfile Association Rules. AGGARWAL CC,SUN Z,YU PS. Proc KDD Conf . 1998
[10]  
FastA lgorithms forM ining Association Rules in Large Databases. AGRAWAL R,STR IKANT R. In Research ReportRJ 9839, IBM A lmaden Research Center . 1994