DocumentCode
3262446
Title
Formal concept analysis in relational contexts
Author
Jiang, Feng ; Meng, Youxin ; Liu, Yun
Author_Institution
Coll. of Inf. & Sci. Technol., Qingdao Univ. of Sci. & Technol., Songling
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
326
Lastpage
329
Abstract
Formal concept analysis (FCA) is a method mainly used for the analysis of data, which identifies conceptual structures among data sets. Central to FCA is the notion of formal context. A formal context is usually defined as a binary relation between a set of objects and a set of attributes. But in real world, it is more meaningful to consider the direct relations between objects (or individuals). In this paper, in order to model those relations between individuals in real world, we shall propose a different kind of context - relational context for FCA, which contains a universe U of objects and a binary relation r on U. The definitions of relational concepts in relational contexts and the basic properties about relational contexts and relational concepts are also given.
Keywords
data analysis; relational databases; conceptual structures; data analysis; formal concept analysis; formal context; relational concepts; relational contexts; Context modeling; Data analysis; Data engineering; Data mining; Educational institutions; Information analysis; Information retrieval; Lattices; Relational databases; Rough sets; Formal concept analysis; relational concepts; relational contexts;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-2512-9
Electronic_ISBN
978-1-4244-2513-6
Type
conf
DOI
10.1109/GRC.2008.4664730
Filename
4664730
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