首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:Comparative Study between Traditional and Heuristic Approach on Close-degree Concept Lattice for better Attribute Reduction
  • 本地全文:下载
  • 作者:Mr. Ravindra k. Gupta ; Ms. Sapna Sahu ; Dr. Shailendra Singh
  • 期刊名称:International Journal of Advanced Computer Research
  • 印刷版ISSN:2249-7277
  • 电子版ISSN:2277-7970
  • 出版年度:2012
  • 卷号:2012
  • 出版社:Association of Computer Communication Education for National Triumph (ACCENT)
  • 摘要:Co ncept la ttice is a new mat hematica l too l for data analysis a nd k nowledge processing. There i s an increa sing interest on a ppli catio n of concept l attices in the different informa tion systems . The co ncep t la ttice may be used for representation of the co ncep t genera lization structure generated from the underl ying dat a set. Attrib ute reduction is very import ant i n the theory of concept lattice because it ca n make the disco very of imp licit knowledg e in da ta easier and the representa tion simpler. The pa per presents a modified lat tice build ing algo rithm where the g enerated concept nod es may co ntai n no t only the at tributes of the child ren nodes but some ot her g eneralized attributes, too. The generalization st ructure o f the attribut es is call ed attribute la ttice. In this app roach we find co ncept la ttice, Att ribut e Co ncept lattice and , Formal Concept Latt ice based on all the deduction we fi nd t he Heuri stic Result which provide better attribute reduction. We also di scuss a comp arati ve st udy between the t radit iona l and the new heurist ic ap proa ch
  • 关键词:Concept Lattice; Attribu te Redu ction ; Cl ose-degree; ;Formal con cept Lattice
国家哲学社会科学文献中心版权所有