Incremental Discovering Association Rules: A Concept Lattice Approach
1999
Concept lattice is an efficient tool for data analysis. Mining association rules is a impor tant subfield of data mining. In this paper we investigate the ability of concept lattice on associate ru les and present an efficient algorithm which genera te the large itemsets increm entally on the basis of Godin's work.
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