Closed-Label concept lattice based rule extraction approach

Authors:
Junhong Wang;Jiye Liang;Yuhua Qian
Affiliations:
School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China;School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China;Key Laboratory of Computational Intelligence and Chinese Information Processing, Ministry of Education, Taiyuan, China
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

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Abstract

Concept lattice is an effective tool for data analysis and extracting classification rules. However, the classical concept lattice often produce a lot of redundant rules. Closed-label concept lattice realizes reduction of concept intention, which can be used to extract fewer rules than the classical concept lattice. This paper presents a method for classification rules extraction based on the closed-label concept lattice. Examples show that the proposed method is effective for extracting more concise classification rules.