A Knowledge Reduction Method Based on Concept Lattice

Abstract:

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Formal concept analysis and rough set theory provide two different methods for data analysis and knowledge processing. Knowledge reduct in this paper combines the two models. For an initial data sets described by formal context, look for absolute necessary attribute sets by applying rough set theory. The sets can image the concepts and hiberarchy structure completely. Then calculate the value cores of attributes values for all objects and delete redundant attributes. At last, delete repeated instances and get the minimum formal context. Construct the concept lattice of the minimum formal context can diminish the size of concept lattice of the initial table at a certain extent.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

604-607

DOI:

10.4028/www.scientific.net/AMR.219-220.604

Citation:

X. Y. Wang "A Knowledge Reduction Method Based on Concept Lattice", Advanced Materials Research, Vols. 219-220, pp. 604-607, 2011

Online since:

March 2011

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Price:

$35.00

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