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2010•Computer Engineering and Applications JournalRequires access

MLFI:New method for maximum length frequent itemsets mining

Lixia Han

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Abstract

After the current definition of the maximum length frequent itemsets mining problem is understood and its many practical applications are explored,an FP-tree-based algorithm is proposed for the mining problem.Maximum length frequent itemsets are mined while traversing the FP-tree in the algorithm.There is only an initial FP-tree.Theoretic analysis and experiments show that the algorithm accelerates the speed to traverse the tree and improves the mining efficiency.

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What this paper is about

After the current definition of the maximum length frequent itemsets mining problem is understood and its many practical applications are explored,an FP-tree-based algorithm is proposed for the mining problem.Maximum length frequent itemsets are mined while traversing the FP-tree in the algorithm.There is only an initial FP-tree.Theoretic analysis and experiments show that the algorithm accelerates the speed to traverse the tree and improves the mining efficiency.

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Available abstract

After the current definition of the maximum length frequent itemsets mining problem is understood and its many practical applications are explored,an FP-tree-based algorithm is proposed for the mining problem.Maximum length frequent itemsets are mined while traversing the FP-tree in the algorithm.There is only an initial FP-tree.Theoretic analysis and experiments show that the algorithm accelerates the speed to traverse the tree and improves the mining efficiency.

Key concepts: Traverse, Tree (set theory), Computer science, Data mining, Algorithm, Mathematics, Combinatorics, Geology

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