期刊文献+

基于位阵的更新最大频繁项集算法 被引量:4

Algorithm for Updating Maximum Frequent Itemsets Based on BitMatrix
在线阅读 下载PDF
导出
摘要 讨论了最大频繁项集的增量式更新问题,提出最大频繁项目集更新算法FAUMFI,并举例说明了算法的执行过程。该算法充分利用已建立的BitMatrix和已挖掘的最大频繁项目集,对已挖掘的最大频繁项目集进行高效维护。 The problem of incremental update of MFI is introduced, and corresponding algorithms, FAUMFI, is proposed. The algorithm makes full use of a built-up BitMatrix and MFI, thus it can maintain and update MFI efficiently. The execution of algorithms is illustrated.
出处 《计算机工程》 CAS CSCD 北大核心 2007年第3期59-61,共3页 Computer Engineering
基金 湖南省自然科学基金资助项目(05JJ40007)
关键词 最大频繁项集 数据挖掘 增量式更新 Maximum frequent itemset Data mining Incremental update
  • 相关文献

参考文献5

二级参考文献24

  • 1[1]Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. In: Proceedings of ACM SIGMOD International Conference on Management of Date, Washington DC, 1993.207~216
  • 2[2]Agrawal R, Srikant R. Fast algorithm for mining association rules. In: Proceedings of the 20th International Conference on VLDB, Santiago, Chile, 1994. 487~499
  • 3[3]Han J, Kamber M. Data Mining: Concepts and Techniques. Beijing: Higher Education Press, 2001
  • 4[5]Agrawal R, Shafer J C. Parallel mining of association rules:Design, implementation, and experience. IBM Research Report RJ 10004,1996
  • 5[6]Savasere A, Omiecinski E, Navathe S. An efficient algorithm for mining association rules. In: Proceedings of the 21th International Conference on VLDB, Zurich, Switzerland, 1995. 432~444
  • 6[7]Hah J, Jian P et al. Mining frequent patterns without candidate generation. In: Proceedings of ACM SIGMOD International Conference on Management of Data, Dallas, TX, 2000.1~12
  • 7[8]Cheung D W, Lee S D, Kao B. A general incremental technique for maintaining discovered association rules. In: Proceedings of databases systems for advanced applications, Melbourne, Australia, 1997. 185~194
  • 8[10]Han J, Jian P. Mining access patterns efficiently from web logs. In: Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan,2000. 396~407
  • 9[11]Agrawal R, Srikant R. Mining sequential pattern. In: Proceedings of the 11th International Conference on Data Engineering, Taipei, 1995. 3~14
  • 10[1]Agrawal R,Imielinski T,Swami A.Mining Association Rules Between Sets of Items in Large Databases[C].Proceedings of the ACM SIGMOD Conference on Management of Data.Washington D C,1993.207- 216.

共引文献89

同被引文献39

引证文献4

二级引证文献9

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