Classification rule acquisition based on extended concept lattice

Authors:
Yan Wang;Ming Li
Affiliations:
College of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China;College of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China
Venue:
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Year:
2007

Citing 3
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Abstract

Classification is an important task in data mining. The number of rules which are obtained through traditional classification rule acquisition algorithm is much enormous. Concept lattice is powerful tool for data mining and rule acquisition. Through analyzing characteristic of concept in concept lattice, extended concept lattice and classification rule acquisition based on extended concept lattice are proposed. Experiment results show that this algorithm can obtain simple and understandable rule set.