DocumentCode :
468164
Title :
A Formal Description-Based Approach to Extended Many-Valued Context Analysis
Author :
Lei, Yuxia ; Cao, Baoxiang ; Yu, Jiguo
Author_Institution :
Qufu Normal Univ., Rizhao
Volume :
1
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
545
Lastpage :
549
Abstract :
Formal Concept Analysis (FCA) is an effective formal tool for data analysis and knowledge mining. The paper firstly proposed a semi-automatic method, which is based on extended description, is used to translate the original documents into extended many-valued context. Then based on extended many-valued contexts and extended description, the paper presented an approach to concept lattice analysis in order to improve the utility and pertinence to the concept lattice. The method allows to avoid the generation of a large one-valued context and to do document knowledge discovery.
Keywords :
data analysis; data mining; concept lattice analysis; data analysis; document knowledge discovery; extended many valued context analysis; formal concept analysis; formal description based approach; knowledge mining; Books; Computer science; Data analysis; Education; Educational institutions; Fuzzy sets; Lattices; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.28
Filename :
4405984
Link To Document :
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