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