计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (8): 157-159.

• 数据库与信息处理 • 上一篇    下一篇

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
  • 收稿日期:2006-04-14 修回日期:1900-01-01 出版日期:2007-03-11 发布日期:2007-03-11
  • 通讯作者: 刘纪芹

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

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

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