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
Link To Document :
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