Efficient Vertical Mining of Frequent Closures and Generators
Identifieur interne : 003962 ( Main/Exploration ); précédent : 003961; suivant : 003963Efficient Vertical Mining of Frequent Closures and Generators
Auteurs : Laszlo Szathmary [Canada] ; Petko Valtchev [Canada] ; Amedeo Napoli [France] ; Robert Godin [Canada]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
English descriptors
Abstract
Abstract: The effective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, only few miners address both concerns, typically by applying levelwise breadth-first traversal. As depth-first traversal is known to be superior, we examine here the depth-first FCI/FG-mining. The proposed algorithm, Touch, deals with both tasks separately, i.e., uses a well-known vertical method, Charm, to extract FCIs and a novel one, Talky-G, to extract FGs. The respective outputs are matched in a post-processing step. Experimental results indicate that Touch is highly efficient and outperforms its levelwise competitors.
Url:
DOI: 10.1007/978-3-642-03915-7_34
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: The effective construction of many association rule bases requires the computation of both frequent closed and frequent generator itemsets (FCIs/FGs). However, only few miners address both concerns, typically by applying levelwise breadth-first traversal. As depth-first traversal is known to be superior, we examine here the depth-first FCI/FG-mining. The proposed algorithm, Touch, deals with both tasks separately, i.e., uses a well-known vertical method, Charm, to extract FCIs and a novel one, Talky-G, to extract FGs. The respective outputs are matched in a post-processing step. Experimental results indicate that Touch is highly efficient and outperforms its levelwise competitors.</div>
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