基于亏值共轭对的概念格中有效知识的分类与提取

Jie Wu, Yuan Ma
{"title":"基于亏值共轭对的概念格中有效知识的分类与提取","authors":"Jie Wu, Yuan Ma","doi":"10.1109/ISDEA.2012.429","DOIUrl":null,"url":null,"abstract":"In this paper, we define the concept of Projective Granule, Deficient Value, and Conjugate Pair, and achieve relevant formalized theorems and proofs. Then we find a Algorithm by which all Conjugated Pairs in the formal context can be obtained. The gain of the conjugate pair could classify the knowledge of concept lattice in accordance with some attributes (or objects) that users concern, and thus it has the significance in the extraction of useful knowledge.","PeriodicalId":267532,"journal":{"name":"2012 Second International Conference on Intelligent System Design and Engineering Application","volume":"427 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Classification and Extraction of Effective Knowledge in Concept Lattices Based on the Conjugate Pair of Deficient Value\",\"authors\":\"Jie Wu, Yuan Ma\",\"doi\":\"10.1109/ISDEA.2012.429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we define the concept of Projective Granule, Deficient Value, and Conjugate Pair, and achieve relevant formalized theorems and proofs. Then we find a Algorithm by which all Conjugated Pairs in the formal context can be obtained. The gain of the conjugate pair could classify the knowledge of concept lattice in accordance with some attributes (or objects) that users concern, and thus it has the significance in the extraction of useful knowledge.\",\"PeriodicalId\":267532,\"journal\":{\"name\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"volume\":\"427 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Second International Conference on Intelligent System Design and Engineering Application\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDEA.2012.429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Second International Conference on Intelligent System Design and Engineering Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDEA.2012.429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文定义了射影粒、亏值和共轭对的概念,并给出了相关的形式化定理和证明。在此基础上,给出了一种能求出形式上下文中所有共轭对的算法。共轭对的增益可以根据用户关心的某些属性(或对象)对概念格的知识进行分类,因此对提取有用的知识具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Classification and Extraction of Effective Knowledge in Concept Lattices Based on the Conjugate Pair of Deficient Value
In this paper, we define the concept of Projective Granule, Deficient Value, and Conjugate Pair, and achieve relevant formalized theorems and proofs. Then we find a Algorithm by which all Conjugated Pairs in the formal context can be obtained. The gain of the conjugate pair could classify the knowledge of concept lattice in accordance with some attributes (or objects) that users concern, and thus it has the significance in the extraction of useful knowledge.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信