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基于单位划分的关联规则及其应用

Association Rules based on Partition of Granularities and the Application
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摘要 本文为关联规则问题提出一个新的多重单位概念,并改进原有算法以适用于多重单位结构,同时还将多重单位结构应用在文件分类上,以验证多重单位结构存在的实用性。 In this paper, we propose a new concept for association rules, namely Multi-Granularities Association Rule. We also enhance the existing algorithm to incorporate the Multi-Granularities concept . Based on the concept of MGAR, we propose an application on text categorization to verify its practicability.
作者 刘松
出处 《现代计算机》 2005年第4期86-88,89,共4页 Modern Computer
关键词 关联规则 单位划分 应用 多重 结构 实用性 算法 文件 Data Mining Association Rule Multi-Granularities Text Classification
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参考文献4

  • 1Maria-Luiza Antonie, Osmar R. Zaiane. Text Document Categorization by Term Association. Proceeding of the IEEE 2001 International Conference on Data Mining (ICDM'2002),Maebashi City, Japan, December 9-12, 2002.
  • 2B. Liu, W. Hsu, Y. Ma. Integrating Classification and Association Rule Mining. in ACM Intl. Conf. on Knowledge Discoverv and Data Mining (SIGKDD'98). p80-86.New York City. NY, August 1998.
  • 3B. Liu, W. Hsu, Y. Ma. Mining Association Rules with Multiple Minimum Supports. Proc. 5th Intl. Conf. on Knowledge Discover), and Data Mining (KDD'99),San Diego.CA.USA. Augest 15-18. 1999, p337-341.
  • 4Osmar R. Zaiane, Maria-Luiza Antonie. Classifying Text Documents by Associating Terms with Text Categories. Proceeding of the Thirteenth Australasian Database Conference (ADC'02), Melbourne, Australia, January 28-February 1, 2002. IX.

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