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关联算法的改进及其在审计数据挖掘中的应用 被引量:2

Improvement of the High-speed Association Algorithm and Its Application in Auditing Data Mining
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摘要 研究了审计数据挖掘中一种不产生候选频集的高速算法——FPgrowth算法;随后,针对入侵检测的应用环境,提出了FPgrowth算法在入侵检测应用中的改进方案。 A high-speed algorithm named FP-growth that doesn't generate a candidate frequent item set in the auditing datamining is studied According to the application in an intrusion detection system, several improved methods for the application of FP-growth algorithm in intrusion detection are discussed.
作者 吕锋 陈华胜
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2004年第5期5-9,共5页 Journal of Wuhan University of Technology:Information & Management Engineering
关键词 入侵检测 关联规则 FP_GROWTH算法 intrusion detection association rules FP-growth algorithm
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参考文献4

  • 1[1]Verwoerd T. Ray Hunt Intrusion Detection Techmiques and Approaches[J]. Computer Communications, 2002 (25): 1356-1365.
  • 2[2]Agrawal R, Imielinski T, Swami A. Mining Association Rules between Sets of Items in Large Databases [EB/OL]. http: //www. almaden. ibm. com / software / quest / Publications / papers / sigmod93. pdf, 2004-06-02.
  • 3[3]Han J, Pei J, Yin Y. Mining Frequent Patterns without Candidate Generation [EB/OL]. http://www.cse.buffalo.edu/faculty/jianpei/publications /sigmod00. pdf, 2004-06-02.
  • 4卢勇,曹阳,凌军,李莉.基于数据挖掘的入侵检测系统框架[J].武汉大学学报(理学版),2002,48(1):63-66. 被引量:21

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