Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904160139> ?p ?o ?g. }
Showing items 1 to 60 of
60
with 100 items per page.
- W2904160139 abstract "Mining maximal frequent itemsets is an important research topic in data mining. The existing FPMAX algorithm for mining maximal frequent itemsets based on FP-tree necessitate to construct conditional subset trees recursively. While the amount of frequent itemsets is large, it will cause huge consumption both in terms of runtime and memory. Therefore, this paper proposes an improved algorithm FPMAX-direct for mining maximal frequent itemsets based on FP-tree. This novel algorithm will simplify the construction of the conditional subset trees by adding directly the branch of FP-tree whose support is no less than a user-specified minimum support threshold to the maximal frequent candidate itemsets. Experimental results show that FPMAX-direct algorithm outperforms FPMAX algorithm in dense datasets." @default.
- W2904160139 created "2018-12-22" @default.
- W2904160139 creator A5029233685 @default.
- W2904160139 creator A5056462161 @default.
- W2904160139 creator A5071169396 @default.
- W2904160139 creator A5085028455 @default.
- W2904160139 date "2018-10-01" @default.
- W2904160139 modified "2023-09-24" @default.
- W2904160139 title "An Improved Algorithm for Mining Maximal Frequent Itemsets Based on FP-tree" @default.
- W2904160139 cites W1482472192 @default.
- W2904160139 cites W2064853889 @default.
- W2904160139 cites W2166559705 @default.
- W2904160139 cites W2169046918 @default.
- W2904160139 cites W2351434152 @default.
- W2904160139 cites W2371165155 @default.
- W2904160139 doi "https://doi.org/10.1109/dcabes.2018.00065" @default.
- W2904160139 hasPublicationYear "2018" @default.
- W2904160139 type Work @default.
- W2904160139 sameAs 2904160139 @default.
- W2904160139 citedByCount "0" @default.
- W2904160139 crossrefType "proceedings-article" @default.
- W2904160139 hasAuthorship W2904160139A5029233685 @default.
- W2904160139 hasAuthorship W2904160139A5056462161 @default.
- W2904160139 hasAuthorship W2904160139A5071169396 @default.
- W2904160139 hasAuthorship W2904160139A5085028455 @default.
- W2904160139 hasConcept C113174947 @default.
- W2904160139 hasConcept C11413529 @default.
- W2904160139 hasConcept C114614502 @default.
- W2904160139 hasConcept C124101348 @default.
- W2904160139 hasConcept C193524817 @default.
- W2904160139 hasConcept C199360897 @default.
- W2904160139 hasConcept C2780801425 @default.
- W2904160139 hasConcept C33923547 @default.
- W2904160139 hasConcept C41008148 @default.
- W2904160139 hasConceptScore W2904160139C113174947 @default.
- W2904160139 hasConceptScore W2904160139C11413529 @default.
- W2904160139 hasConceptScore W2904160139C114614502 @default.
- W2904160139 hasConceptScore W2904160139C124101348 @default.
- W2904160139 hasConceptScore W2904160139C193524817 @default.
- W2904160139 hasConceptScore W2904160139C199360897 @default.
- W2904160139 hasConceptScore W2904160139C2780801425 @default.
- W2904160139 hasConceptScore W2904160139C33923547 @default.
- W2904160139 hasConceptScore W2904160139C41008148 @default.
- W2904160139 hasLocation W29041601391 @default.
- W2904160139 hasOpenAccess W2904160139 @default.
- W2904160139 hasPrimaryLocation W29041601391 @default.
- W2904160139 hasRelatedWork W1789239680 @default.
- W2904160139 hasRelatedWork W1965071687 @default.
- W2904160139 hasRelatedWork W1978300022 @default.
- W2904160139 hasRelatedWork W2083172146 @default.
- W2904160139 hasRelatedWork W2347219288 @default.
- W2904160139 hasRelatedWork W2348097614 @default.
- W2904160139 hasRelatedWork W2904160139 @default.
- W2904160139 hasRelatedWork W38468675 @default.
- W2904160139 hasRelatedWork W406481330 @default.
- W2904160139 hasRelatedWork W4212926132 @default.
- W2904160139 isParatext "false" @default.
- W2904160139 isRetracted "false" @default.
- W2904160139 magId "2904160139" @default.
- W2904160139 workType "article" @default.