.png){kind=icon}
返回
Interactive error correction in implicative theories
.png){kind=icon}
OA
AI
DOI：10.1016/j.ijar.2015.06.004.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Errors in implicative theories coming from binary data are studied. First, two classes of errors that may affect implicative theories are singled out. Two approaches for finding errors of these classes are proposed, both of them based on methods of Formal Concept Analysis. The first approach uses the cardinality minimal (canonical or Duquenne-Guigues) implication base. The construction of such a base is computationally intractable. Using an alternative approach one checks possible errors on the fly in polynomial time via computing closures of subsets of attributes. Both approaches are interactive, based on questions about the validity of certain implications. Results of computer experiments are presented and discussed. (C) 2015 Elsevier Inc. All rights reserved.
Keyword:
Implicative theory
Error correction
Closure system
Formal concept analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3
论文数:
3.0K
被引数:
5.1K
机构
引用论文
.png){kind=icon}
Length-weight relationships for 11 fish species from the tributary of Amur River (Fuyuan, NE China)OAAI
OAAI分享收藏
没有更多内容
没有更多内容