Title :
A hierarchical structure of formal context
Author :
Li, Tong-jun ; Wu, Zhao-zhi ; Jing, Yan-ling
Author_Institution :
Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
Abstract :
Formal concept analysis is one kind of efficient approaches for data analysis, formal context and concept lattice are two basic notions. In this paper, by defining the dependence of attributes, one type of partial order relation among sub-contexts is investigated in detail. In the meantime, by introducing the notion of independence of a formal context, reduction of formal context is discussed. Consequently, one type of partition of attribute set is obtained, and a hierarchical structure on the attributes set of formal context is revealed.
Keywords :
attribute grammars; data analysis; formal concept analysis; set theory; concept lattice; data analysis; formal concept analysis; formal context; hierarchical structure; partial order relation; Context; Cybernetics; Learning systems; Machine learning; Formal contexts; concept lattice; dependent; hierarchical structure;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016864
