A new method of mining classification rule using relevant concept cover of concept lattice

Classification rule mining is one of important areas of data mining, and it is a hot subject at present. In this paper, we introduce some definitions: relevant concept, pseudo concept, and relevant concept cover. Then we presents an algorithm to compute relevant concept cover, which divides the cont...

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Bibliographic Details
Published inProceedings (IEEE International Conference on Software Engineering and Service Sciences. Print) pp. 832 - 835
Main Authors Wu Jie, Liang Yan, Ma Yuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2016
Subjects
Algorithm design and analysis
Classification algorithms
Classification Rule
Concept Lattice
Context
Data mining
Entropy
Lattices
Pseudo-concept
Relevant Concept Cover
Shannon Entropy
Software
Online AccessGet full text
ISSN2327-0594
DOI10.1109/ICSESS.2016.7883195

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Summary:Classification rule mining is one of important areas of data mining, and it is a hot subject at present. In this paper, we introduce some definitions: relevant concept, pseudo concept, and relevant concept cover. Then we presents an algorithm to compute relevant concept cover, which divides the context into subsets, calculate the set of relevant concepts by the value of concept shannon entropy, and then increasingly constructs relevant concept cover by deleting redundant concept orderly. Finally, we give a new method to classify rules using relevant concept cover of concept lattice, and through experiments prove, the computing speed of this method is faster and the number of rules is more.
ISSN:2327-0594
DOI:10.1109/ICSESS.2016.7883195