期刊文献+

数据挖掘在网络管理中的应用

下载PDF
导出
摘要 在对数据挖掘技术的概念、主要方法和挖掘过程等知识进行简单介绍的基础上,探讨了数据挖掘在网络管理领域的应用。
作者 常睿 崔志明
出处 《福建电脑》 2006年第9期179-180,共2页 Journal of Fujian Computer
  • 相关文献

参考文献6

二级参考文献55

  • 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 被引量:1
  • 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 被引量:1
  • 3[3]Han J, Kamber M. Data Mining: Concepts and Techniques. Beijing: Higher Education Press, 2001 被引量:1
  • 4[5]Agrawal R, Shafer J C. Parallel mining of association rules:Design, implementation, and experience. IBM Research Report RJ 10004,1996 被引量:1
  • 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 被引量:1
  • 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 被引量:1
  • 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 被引量:1
  • 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 被引量:1
  • 9[11]Agrawal R, Srikant R. Mining sequential pattern. In: Proceedings of the 11th International Conference on Data Engineering, Taipei, 1995. 3~14 被引量:1
  • 10Burdick D,Calimlim M,Gehrke J.MAFIA: A maximal frequent itemset algorithm for transactional databases [Z].Int'l Conf. on Data Engineering.2001. 被引量:1

共引文献125

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