期刊文献+

正、负关联规则间的置信度关系研究 被引量:7

Research on Relationships of Confidence among Positive and Neg ative Association Rules
下载PDF
导出
摘要 当同时研究项集A、B间的正、负关联规则(A B、A┐B、┐AB及┐A┐B)时,置信度的设置问题变得非常重要。当A,B的支持度变化时,四种关联规则的置信度如何变化,它们之间有着怎样的联系,对此进行了详细讨论,结论对置信度的设置有重要价值。 How to setup the confidence becomes very important when the positive & negative association rules(the form of A B,A ┐B,┐ A B and ┐A ┐B) are simultaneously studied between itemsets A and B. When the supports of itemsets A and B change, what will the confidences of the four rules change? What relationships are there among the four confidences? This paper discusses these questions in detail and d raws a lot useful conclusions.
出处 《计算机应用研究》 CSCD 北大核心 2005年第7期34-35,47,共3页 Application Research of Computers
基金 国家"973"计划资助项目(G1998030414)
关键词 负关联规则 置信度 支持度 Negative Association Rules Confidence Support
  • 相关文献

参考文献9

  • 1Brin S, Motwani R, Silverstein C. Beyond Market: Generalizing Association Rules to Correlations[C]. Proceedings of the ACM SIGMOD Conference, New York: ACM Press, 1997. 265-276.
  • 2Savasere A, Omiecinski E, Navathe S. Mining for Strong Negative Associations in a Large Database of Customer Transaction [C]. Los Alamitos : Proceedings of the IEEE 14th Int. Conference on Data Engineering, IEEE-CS, 1998. 494-502.
  • 3Wu Xindong, Zhang Chengqi, Zhang Shichao. Mining Both Positive and Negative Association Rules[C]. Proceedings of the 19th International Conference on Machine Learning( ICML-2002 ),San Francisco: Morgan Kaufmann Publishers, 2002. 658-665.
  • 4Zhang Chengqi, Zhang Shichao. Association Rule Mining[M]. Heidelberg: Springer-Verlag, 2002.47-84.
  • 5Boullcaut JF,Bykowski A,Jeudy B. Towards the Tractable Discovery of Association Rules with Negations[C]. Proceedings of the 4th International Conference on Flexible Query Answering Systems FQAS'00,Heidelberg: Physica-Verlag, 2000. 425-434.
  • 6B Liu, W Hsu, Y Ma. Pruning and Summarizing the Discovered Associations[C]. Proc. of the 5th Int'l Conference on Knowledge Discovery and Data Mining, New York: ACM Press, 1999. 125-134.
  • 7Bing Liu, Wynne Hsu, Yiming Ma. Identifying Non-Actionable Association Rules [C], Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2001),New York : ACM Press, 2001. 329-334.
  • 8李铭.关联规则的多支持度挖掘在销售数据中的应用[J].计算机工程,2003,29(8):92-93. 被引量:10
  • 9Bing Liu, Wynne Hsu, Yiming Ma. Mining Association Rules with Multiple Minimum Supports[C]. Proceedings of the ACM SIGKDD International Conference on Knowledgc Discovery & Data Mining(KDD-99), New York: ACM Press, 1999.

二级参考文献4

  • 1Liu B,Hsu W, Ma Y.Mining Association Rules with Multiple Minimum Supports.KDD-99,1999.
  • 2Nag B,Deshpande P M,Dewitt D J.Using a Knowledge Cache for Interactive Discovery of Association Rules.KDD-99,1999:244-253.
  • 3Han J,Fu Y.Discovery of Multiple-level from Large Databases.Zurich,Switzerland:In Proc. 21th VLDB Conf., 1995-09:420-431.
  • 4李铭,蔡庆生.一个高效的关联规则增量式更新算法[J].计算机工程与应用,2000,36(5):47-49. 被引量:12

共引文献9

同被引文献66

引证文献7

二级引证文献29

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