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计算机工程 ›› 2011, Vol. 37 ›› Issue (16): 45-47. doi: 10.3969/j.issn.1000-3428.2011.16.015

• 软件技术与数据库 • 上一篇    下一篇

基于广义离散Morse理论的强关联规则挖掘

刘 俊,刘希玉   

  1. (山东师范大学管理与经济学院,济南 250014)
  • 收稿日期:2011-01-28 出版日期:2011-08-20 发布日期:2011-08-20
  • 作者简介:刘 俊(1986-),女,硕士研究生,主研方向:Morse理论,数据挖掘;刘希玉,教授、博士
  • 基金资助:
    国家自然科学基金资助项目(60873058);山东省自然科学基金资助项目(Z2007G03)

Strong-association Rules Mining Based on Generalized Discrete Morse Theory

LIU Jun, LIU Xi-yu   

  1. (School of Management and Economics, Shandong Normal University, Jinan 250014, China)
  • Received:2011-01-28 Online:2011-08-20 Published:2011-08-20

摘要: 针对强关联规则的挖掘问题,提出构造事务数据库的单元复形,利用广义离散Morse理论发现强关联规则的方法。在基本的离散Morse理论和关联规则的基础上延伸得到广义离散Morse理论和强关联规则的定义,通过在事务数据库的单元复形上定义离散Morse函数挖掘强关联规则,例证表明该方法的可行性和高效性。

关键词: 离散Morse理论, 拓扑, 广义离散Morse函数, 广义离散梯度, 强关联规则

Abstract: For the problem of strong-association rules mining, a method is proposed which constructs a cell complex on transaction database and uses generalized discrete Morse theory to find the strong-association rule. It gets the definition of generalized discrete Morse theory and strong-association rule by extending the basic discrete Morse theory and association rule, mining the strong-association rule by defining discrete Morse theory on cell complex of transaction database. Example verifies the feasibility and efficiency of the method.

Key words: discrete Morse theory, topology, generalized discrete Morse function, generalized discrete gradient, strong-association rule

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