Matches in SemOpenAlex for { <https://semopenalex.org/work/W3025375181> ?p ?o ?g. }
- W3025375181 endingPage "90477" @default.
- W3025375181 startingPage "90465" @default.
- W3025375181 abstract "High-utility itemset mining (HUIM) in transaction databases has been extensively studied to discover interesting itemsets from users' purchase behaviors. With this, business managers can adjust their sale strategies appropriately to increase profit. HUIM approaches usually focus on the utility values of itemsets, but rarely evaluate the correlation of items in itemsets. Many high-utility itemsets are weakly correlated and have no real meaning. To address this issue, we suggest an algorithm, called CoHUI-Miner, to efficiently find correlated high-utility itemsets. In the proposed algorithm, we use the database projection mechanism to reduce the database size and present a new concept, called the prefix utility of projected transactions, to eliminate itemsets which do not satisfy the minimum threshold in the mining process. Experimental evaluation on two types of datasets from sparse to dense ones shows that CoHUI-Miner can efficiently mine correlated high-utility itemsets with regard to both execution time and memory usage." @default.
- W3025375181 created "2020-05-21" @default.
- W3025375181 creator A5005320817 @default.
- W3025375181 creator A5015991804 @default.
- W3025375181 creator A5039113161 @default.
- W3025375181 creator A5042963949 @default.
- W3025375181 creator A5057105630 @default.
- W3025375181 creator A5062373963 @default.
- W3025375181 creator A5064984835 @default.
- W3025375181 creator A5083775463 @default.
- W3025375181 creator A5090949818 @default.
- W3025375181 date "2020-01-01" @default.
- W3025375181 modified "2023-10-10" @default.
- W3025375181 title "Mining Correlated High Utility Itemsets in One Phase" @default.
- W3025375181 cites W1977851787 @default.
- W3025375181 cites W1984446671 @default.
- W3025375181 cites W2041650550 @default.
- W3025375181 cites W2049785083 @default.
- W3025375181 cites W2071666497 @default.
- W3025375181 cites W2084866398 @default.
- W3025375181 cites W2100417212 @default.
- W3025375181 cites W2109189384 @default.
- W3025375181 cites W2123080227 @default.
- W3025375181 cites W2125352627 @default.
- W3025375181 cites W2143428105 @default.
- W3025375181 cites W2144309138 @default.
- W3025375181 cites W2155763376 @default.
- W3025375181 cites W2157169143 @default.
- W3025375181 cites W2161637667 @default.
- W3025375181 cites W2166559705 @default.
- W3025375181 cites W2227296972 @default.
- W3025375181 cites W2296164026 @default.
- W3025375181 cites W2328335709 @default.
- W3025375181 cites W2513061279 @default.
- W3025375181 cites W2517030840 @default.
- W3025375181 cites W2522335225 @default.
- W3025375181 cites W2608853168 @default.
- W3025375181 cites W2756096685 @default.
- W3025375181 cites W2773989315 @default.
- W3025375181 cites W2774847083 @default.
- W3025375181 cites W2794370109 @default.
- W3025375181 cites W2887183215 @default.
- W3025375181 cites W2900294417 @default.
- W3025375181 cites W2907017794 @default.
- W3025375181 cites W2908474881 @default.
- W3025375181 cites W2919538836 @default.
- W3025375181 cites W2925324114 @default.
- W3025375181 cites W2951487503 @default.
- W3025375181 cites W2963025680 @default.
- W3025375181 cites W2976436416 @default.
- W3025375181 cites W2994726635 @default.
- W3025375181 cites W2999788471 @default.
- W3025375181 cites W3006136924 @default.
- W3025375181 cites W3006625545 @default.
- W3025375181 cites W3006650279 @default.
- W3025375181 cites W3008250521 @default.
- W3025375181 cites W3010726750 @default.
- W3025375181 cites W3011535835 @default.
- W3025375181 cites W80315153 @default.
- W3025375181 doi "https://doi.org/10.1109/access.2020.2994059" @default.
- W3025375181 hasPublicationYear "2020" @default.
- W3025375181 type Work @default.
- W3025375181 sameAs 3025375181 @default.
- W3025375181 citedByCount "17" @default.
- W3025375181 countsByYear W30253751812021 @default.
- W3025375181 countsByYear W30253751812022 @default.
- W3025375181 countsByYear W30253751812023 @default.
- W3025375181 crossrefType "journal-article" @default.
- W3025375181 hasAuthorship W3025375181A5005320817 @default.
- W3025375181 hasAuthorship W3025375181A5015991804 @default.
- W3025375181 hasAuthorship W3025375181A5039113161 @default.
- W3025375181 hasAuthorship W3025375181A5042963949 @default.
- W3025375181 hasAuthorship W3025375181A5057105630 @default.
- W3025375181 hasAuthorship W3025375181A5062373963 @default.
- W3025375181 hasAuthorship W3025375181A5064984835 @default.
- W3025375181 hasAuthorship W3025375181A5083775463 @default.
- W3025375181 hasAuthorship W3025375181A5090949818 @default.
- W3025375181 hasBestOaLocation W30253751811 @default.
- W3025375181 hasConcept C120665830 @default.
- W3025375181 hasConcept C121332964 @default.
- W3025375181 hasConcept C124101348 @default.
- W3025375181 hasConcept C138885662 @default.
- W3025375181 hasConcept C141603448 @default.
- W3025375181 hasConcept C162324750 @default.
- W3025375181 hasConcept C175444787 @default.
- W3025375181 hasConcept C181622380 @default.
- W3025375181 hasConcept C192209626 @default.
- W3025375181 hasConcept C193524817 @default.
- W3025375181 hasConcept C41008148 @default.
- W3025375181 hasConcept C41895202 @default.
- W3025375181 hasConcept C75949130 @default.
- W3025375181 hasConcept C77088390 @default.
- W3025375181 hasConceptScore W3025375181C120665830 @default.
- W3025375181 hasConceptScore W3025375181C121332964 @default.
- W3025375181 hasConceptScore W3025375181C124101348 @default.
- W3025375181 hasConceptScore W3025375181C138885662 @default.
- W3025375181 hasConceptScore W3025375181C141603448 @default.
- W3025375181 hasConceptScore W3025375181C162324750 @default.