DocumentCode :
524459
Title :
An augment algorithm based on sufficient formal context
Author :
Wenbing, Wu ; Shuqun, Yang ; Wenxiang, Chen
Author_Institution :
Fuzhou Tech. Coll. of Foreign Studies, Fuzhou, China
Volume :
4
fYear :
2010
fDate :
22-24 June 2010
Abstract :
Formal Concept Analysis(FCA) is one of the powerful tools for cognitive science. A concept lattice induced by a context is the core data structure of FCA. A formal context expresses the incidence relation between objects and attributes. It is obvious that the constraint relation between attributes exists. An attribute hierarchy constituted by the attribute relation inevitably restricts the formation of context. Based on an attribute hierarchy, studying the property of the attribute hierarchy, sufficient formal context is defined, the augment algorithm of generating sufficient context is given, and its performance is shown.
Keywords :
data analysis; data structures; attribute hierarchy; augment algorithm; cognitive science; concept lattice; core data structure; formal concept analysis; sufficient formal context; Cognitive science; Computer science education; Data structures; Data visualization; Educational institutions; Educational technology; Lattices; Logic; Reduction method; augment method; sufficient formal context;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6367-1
Type :
conf
DOI :
10.1109/ICETC.2010.5529663
Filename :
5529663
Link To Document :
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