DocumentCode
2410300
Title
Formal concept analysis based on hierarchical class analysis
Author
Chen, Yaohua ; Yao, Yiyu
Author_Institution
Dept. of Comput. Sci., Regina Univ., Sask., Canada
fYear
2005
fDate
8-10 Aug. 2005
Firstpage
285
Lastpage
292
Abstract
The study of concept formation and learning is a central topic in cognitive informatics. Formal concept analysis can be viewed as an approach on this topic based on a formal context. In this paper, we study some basic data units for formal concept analysis based on hierarchical class analysis. In a formal context, objects and attributes can be grouped into equivalence classes based on equivalence relations. The order relations define the hierarchical structures of the equivalence classes. There exist some basic sets of objects and attributes that are used to not only reflect the equivalence relation and order relation, but also constitute all formal concepts derived from the formal context. The properties of these basic sets are studied and analyzed.
Keywords
cognitive systems; equivalence classes; learning (artificial intelligence); cognitive informatics; equivalence classes; formal concept analysis; hierarchical class analysis; Artificial intelligence; Brain modeling; Cognitive informatics; Computer science; Data analysis; Humans; Information analysis; Knowledge representation; Signal analysis; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2005. (ICCI 2005). Fourth IEEE Conference on
Print_ISBN
0-7803-9136-5
Type
conf
DOI
10.1109/COGINF.2005.1532643
Filename
1532643
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