Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (8): 157-159.

• 数据库与信息处理 • Previous Articles     Next Articles

Filter characters of one direction variation S-knowledge and data mining

LIU Ji-qin   

  1. (1. School of Mathematics and System Sciences, Shandong University, Jinan, Shandong, 250100, China;
    2. Department of Statistics and Mathematics, Shandong Finance Institute, Jinan, Shandong, 250014, China)
  • Received:2006-04-14 Revised:1900-01-01 Online:2007-03-11 Published:2007-03-11

单向变异S-知识的过滤特征及数据挖掘

刘纪芹   

  1. 山东财政学院 统计与数理学院
  • 通讯作者: 刘纪芹

Abstract: his paper puts forward the concepts of one direction variation S-knowledge, granulation degree and filter degree of one direction variation S-knowledge. Using these concepts, we further discuss the characters of granulation degree and filter degree about one direction variation S-knowledge. In the end , this paper presents the first mining principle and filter principle about one direction variation S-knowledge.

Key words: Variation S-rough sets, Elementary transfer, One direction variation S-knowledge, Granulation degree of one direction variation S-knowledge, Filter degree of one direction variation S-knowledge

摘要: 本文提出了单向变异S-知识、单向变异S-知识粒度、过滤度的概念。利用这些概念讨论了单向变异S-知识的颗粒特征、过滤特征。最后给出了单向变异S-知识的最先挖掘原理,变异S-知识的最先过滤原理。

关键词: 变异S-粗集, 元素迁移, 单向变异S-知识, 单向变异S-知识粒度, 单向变异S-知识过滤度