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›› 2005, Vol. 31 ›› Issue (06): 26-.

• 论文 • 上一篇    下一篇

基于Rough集和数据库技术的属性约简算法

乔梅,韩文秀   

  1. 天津大学管理学院,天津大学管理学院 天津 300012;天津理工学院计算机科学与工程系,天津 300191
  • 发布日期:2005-03-25

Attribute Reduction Algorithm Based on Rough Set and Database Technology

QIAO Mei 1,2, HAN Wenxiu1   

  1. (1.School of Management, Tianjin University, Tianjin 300012; 2.Department of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300191)
  • Published:2005-03-25

摘要: 对核属性的作用,以及求取属性核心的代价等进行了分析,并运用Rough集的理论给出了判定一个属性子集中是否包含属性核心的充要条件。根据这些研究结论对基于粗糙集的属性约简算法进行改进,并利用数据库查询语言实现了算法。 实验表明对于大数据集,该算法的效率大大高于一些基于主存的算法,且易于实现。

关键词: Rough集, 属性约简算法, 属性核心, 数据库技术

Abstract: The role of core attributes and the cost of calculating core attributes are studied . A criterion is proposed to determine whether all core attributes of a decision table are included in a subset of attributes. Based on these research results, an improved attribute reduction algorithm based on Rough set is presented . Experiments show that the algorithm is more efficient in large data sets and can be easily realized in advantage of database query language.

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