Matches in SemOpenAlex for { <https://semopenalex.org/work/W2724194181> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2724194181 endingPage "667" @default.
- W2724194181 startingPage "663" @default.
- W2724194181 abstract "In many data mining applications such as the discovery of association rules, strong rules, and many other important discovery tasks, mining frequent item sets is a fundamental and essential problem. Methods have been implemented for mining frequent item sets using a prefix-tree structure, for storing compressed information GenMax is used for mining maximal frequent item sets. It uses a technique called progressive focusing to perform maximal checking, and differential set propagation to perform fast frequency computation. Genmax algorithm was not implemented for closed frequent item set. The proposal in this paper present an improved index based enhancement on Genmax algorithm for effective fast and less memory utilized pruning of maximal frequent item and closed frequent item sets. The extension induces a search tree on the set of frequent closed item sets thereby we can completely enumerate closed item sets without duplications. The memory use of mining the maximal frequent item set does not depend on the number of frequent closed item sets. The proposed model reduce the number of disk I/Os and make frequent item set mining scale to large transactional databases. Experimental results shows a comparison of improved index based GenMax and existing GenMax for efficient pruning of maximal frequent and closed frequent item sets in terms of item precision and fastness." @default.
- W2724194181 created "2017-07-14" @default.
- W2724194181 creator A5020429891 @default.
- W2724194181 creator A5036603193 @default.
- W2724194181 date "2011-01-01" @default.
- W2724194181 modified "2023-09-24" @default.
- W2724194181 title "Enhanced Index based GenMax for Frequent Item Set Mining" @default.
- W2724194181 hasPublicationYear "2011" @default.
- W2724194181 type Work @default.
- W2724194181 sameAs 2724194181 @default.
- W2724194181 citedByCount "0" @default.
- W2724194181 crossrefType "journal-article" @default.
- W2724194181 hasAuthorship W2724194181A5020429891 @default.
- W2724194181 hasAuthorship W2724194181A5036603193 @default.
- W2724194181 hasConcept C108010975 @default.
- W2724194181 hasConcept C124101348 @default.
- W2724194181 hasConcept C130590232 @default.
- W2724194181 hasConcept C136764020 @default.
- W2724194181 hasConcept C177264268 @default.
- W2724194181 hasConcept C193524817 @default.
- W2724194181 hasConcept C199360897 @default.
- W2724194181 hasConcept C23123220 @default.
- W2724194181 hasConcept C2777382242 @default.
- W2724194181 hasConcept C41008148 @default.
- W2724194181 hasConcept C4969071 @default.
- W2724194181 hasConcept C6557445 @default.
- W2724194181 hasConcept C75165309 @default.
- W2724194181 hasConcept C81440476 @default.
- W2724194181 hasConcept C86803240 @default.
- W2724194181 hasConceptScore W2724194181C108010975 @default.
- W2724194181 hasConceptScore W2724194181C124101348 @default.
- W2724194181 hasConceptScore W2724194181C130590232 @default.
- W2724194181 hasConceptScore W2724194181C136764020 @default.
- W2724194181 hasConceptScore W2724194181C177264268 @default.
- W2724194181 hasConceptScore W2724194181C193524817 @default.
- W2724194181 hasConceptScore W2724194181C199360897 @default.
- W2724194181 hasConceptScore W2724194181C23123220 @default.
- W2724194181 hasConceptScore W2724194181C2777382242 @default.
- W2724194181 hasConceptScore W2724194181C41008148 @default.
- W2724194181 hasConceptScore W2724194181C4969071 @default.
- W2724194181 hasConceptScore W2724194181C6557445 @default.
- W2724194181 hasConceptScore W2724194181C75165309 @default.
- W2724194181 hasConceptScore W2724194181C81440476 @default.
- W2724194181 hasConceptScore W2724194181C86803240 @default.
- W2724194181 hasIssue "11" @default.
- W2724194181 hasLocation W27241941811 @default.
- W2724194181 hasOpenAccess W2724194181 @default.
- W2724194181 hasPrimaryLocation W27241941811 @default.
- W2724194181 hasRelatedWork W2066576614 @default.
- W2724194181 hasRelatedWork W2127572983 @default.
- W2724194181 hasRelatedWork W2166916915 @default.
- W2724194181 hasRelatedWork W2188906462 @default.
- W2724194181 hasRelatedWork W2209228576 @default.
- W2724194181 hasRelatedWork W2266188361 @default.
- W2724194181 hasRelatedWork W2352842604 @default.
- W2724194181 hasRelatedWork W2359068814 @default.
- W2724194181 hasRelatedWork W2363737644 @default.
- W2724194181 hasRelatedWork W2365426742 @default.
- W2724194181 hasRelatedWork W2370730825 @default.
- W2724194181 hasRelatedWork W2372104386 @default.
- W2724194181 hasRelatedWork W2379665788 @default.
- W2724194181 hasRelatedWork W2384450322 @default.
- W2724194181 hasRelatedWork W2389870731 @default.
- W2724194181 hasRelatedWork W2602627541 @default.
- W2724194181 hasRelatedWork W2619794839 @default.
- W2724194181 hasRelatedWork W3148756424 @default.
- W2724194181 hasRelatedWork W3173977578 @default.
- W2724194181 hasRelatedWork W2188445151 @default.
- W2724194181 hasVolume "3" @default.
- W2724194181 isParatext "false" @default.
- W2724194181 isRetracted "false" @default.
- W2724194181 magId "2724194181" @default.
- W2724194181 workType "article" @default.