Matches in SemOpenAlex for { <https://semopenalex.org/work/W3000207654> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3000207654 endingPage "160" @default.
- W3000207654 startingPage "140" @default.
- W3000207654 abstract "To overcome the limitation of high-utility itemset mining, more compact, lossless, and concise representations of high utility itemsets (HUIs) have been proposed in previous works, such as closed HUIs (CHUIs) or maximal HUIs (MHUIs). Focusing into MHUI mining, in this article, we present efficient approaches to directly mine MHUIs from transactional databases without generating any candidates. The proposed algorithms, which all execute in one phase, utilize many efficient data structures and pruning techniques such as EUCP combined with EUCS, CUIP combined with FUCS, and the P-set structure to significantly reduce the search space and remove nonpromising itemsets, thus, increase the performance of the MHUI mining process. Furthermore, while previous works assumed that the unit profit of items is fixed, which is not practical in many real-world applications, our work resolved this issue by applying a new utility calculation into the mining process to reflect the true nature of real-world databases, thus, generating more accurate results." @default.
- W3000207654 created "2020-01-23" @default.
- W3000207654 creator A5011944244 @default.
- W3000207654 creator A5026404081 @default.
- W3000207654 creator A5062373963 @default.
- W3000207654 creator A5083775463 @default.
- W3000207654 date "2020-01-10" @default.
- W3000207654 modified "2023-09-27" @default.
- W3000207654 title "Mining Maximal High Utility Itemsets on Dynamic Profit Databases" @default.
- W3000207654 cites W1542997766 @default.
- W3000207654 cites W1968259950 @default.
- W3000207654 cites W1991704213 @default.
- W3000207654 cites W2002422448 @default.
- W3000207654 cites W2049785083 @default.
- W3000207654 cites W2094830079 @default.
- W3000207654 cites W2115482638 @default.
- W3000207654 cites W2118149148 @default.
- W3000207654 cites W2132978733 @default.
- W3000207654 cites W2145807193 @default.
- W3000207654 cites W2151028259 @default.
- W3000207654 cites W2298650848 @default.
- W3000207654 cites W2320617691 @default.
- W3000207654 cites W2513061279 @default.
- W3000207654 cites W2565559911 @default.
- W3000207654 cites W2592240698 @default.
- W3000207654 cites W2618628590 @default.
- W3000207654 cites W2750037802 @default.
- W3000207654 cites W2794794246 @default.
- W3000207654 cites W2808106107 @default.
- W3000207654 cites W2925324114 @default.
- W3000207654 cites W2944082610 @default.
- W3000207654 cites W4244299091 @default.
- W3000207654 doi "https://doi.org/10.1080/01969722.2019.1705549" @default.
- W3000207654 hasPublicationYear "2020" @default.
- W3000207654 type Work @default.
- W3000207654 sameAs 3000207654 @default.
- W3000207654 citedByCount "10" @default.
- W3000207654 countsByYear W30002076542021 @default.
- W3000207654 countsByYear W30002076542022 @default.
- W3000207654 countsByYear W30002076542023 @default.
- W3000207654 crossrefType "journal-article" @default.
- W3000207654 hasAuthorship W3000207654A5011944244 @default.
- W3000207654 hasAuthorship W3000207654A5026404081 @default.
- W3000207654 hasAuthorship W3000207654A5062373963 @default.
- W3000207654 hasAuthorship W3000207654A5083775463 @default.
- W3000207654 hasConcept C108010975 @default.
- W3000207654 hasConcept C111919701 @default.
- W3000207654 hasConcept C11413529 @default.
- W3000207654 hasConcept C124101348 @default.
- W3000207654 hasConcept C162324750 @default.
- W3000207654 hasConcept C175444787 @default.
- W3000207654 hasConcept C177264268 @default.
- W3000207654 hasConcept C181622380 @default.
- W3000207654 hasConcept C199360897 @default.
- W3000207654 hasConcept C41008148 @default.
- W3000207654 hasConcept C6557445 @default.
- W3000207654 hasConcept C77088390 @default.
- W3000207654 hasConcept C78548338 @default.
- W3000207654 hasConcept C81081738 @default.
- W3000207654 hasConcept C86803240 @default.
- W3000207654 hasConcept C98045186 @default.
- W3000207654 hasConceptScore W3000207654C108010975 @default.
- W3000207654 hasConceptScore W3000207654C111919701 @default.
- W3000207654 hasConceptScore W3000207654C11413529 @default.
- W3000207654 hasConceptScore W3000207654C124101348 @default.
- W3000207654 hasConceptScore W3000207654C162324750 @default.
- W3000207654 hasConceptScore W3000207654C175444787 @default.
- W3000207654 hasConceptScore W3000207654C177264268 @default.
- W3000207654 hasConceptScore W3000207654C181622380 @default.
- W3000207654 hasConceptScore W3000207654C199360897 @default.
- W3000207654 hasConceptScore W3000207654C41008148 @default.
- W3000207654 hasConceptScore W3000207654C6557445 @default.
- W3000207654 hasConceptScore W3000207654C77088390 @default.
- W3000207654 hasConceptScore W3000207654C78548338 @default.
- W3000207654 hasConceptScore W3000207654C81081738 @default.
- W3000207654 hasConceptScore W3000207654C86803240 @default.
- W3000207654 hasConceptScore W3000207654C98045186 @default.
- W3000207654 hasIssue "2" @default.
- W3000207654 hasLocation W30002076541 @default.
- W3000207654 hasOpenAccess W3000207654 @default.
- W3000207654 hasPrimaryLocation W30002076541 @default.
- W3000207654 hasRelatedWork W2154303101 @default.
- W3000207654 hasRelatedWork W2275666876 @default.
- W3000207654 hasRelatedWork W2300124069 @default.
- W3000207654 hasRelatedWork W2300410463 @default.
- W3000207654 hasRelatedWork W2317319075 @default.
- W3000207654 hasRelatedWork W2326122716 @default.
- W3000207654 hasRelatedWork W2909280233 @default.
- W3000207654 hasRelatedWork W3047144510 @default.
- W3000207654 hasRelatedWork W3140942413 @default.
- W3000207654 hasRelatedWork W2012842278 @default.
- W3000207654 hasVolume "51" @default.
- W3000207654 isParatext "false" @default.
- W3000207654 isRetracted "false" @default.
- W3000207654 magId "3000207654" @default.
- W3000207654 workType "article" @default.