Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018311933> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2018311933 abstract "The mining of frequent patterns in databases has been studied for several years. However, the real-world data tends to be dirty and frequent pattern mining which extracts patterns that are absolutely matched is not enough. An approach, called fault-tolerant frequent pattern (FT-pattern) mining, is more suitable for extracting interesting information from real-world data that may be polluted by noise. In our approach, the problems of mining proportional and fixed FT-patterns are considered. In proportional FT-pattern mining, the number of faults tolerable in a pattern is proportional to the length of the pattern. And the number of faults tolerable in different length of patterns is fixed in fixed FT-pattern mining. A new graph structure, FT-association graph, is proposed to help us filtering out impossible candidates with high efficiency. The experimental results show that the proposed algorithms of our approach are highly efficient for mining both proportional and fixed FT-patterns." @default.
- W2018311933 created "2016-06-24" @default.
- W2018311933 creator A5006070343 @default.
- W2018311933 creator A5010182538 @default.
- W2018311933 creator A5023246483 @default.
- W2018311933 date "2008-01-01" @default.
- W2018311933 modified "2023-09-23" @default.
- W2018311933 title "Mining fault-tolerant frequent patterns efficiently with powerful pruning" @default.
- W2018311933 cites W1498871448 @default.
- W2018311933 cites W1506285740 @default.
- W2018311933 cites W1560730310 @default.
- W2018311933 cites W1578959085 @default.
- W2018311933 cites W1581468894 @default.
- W2018311933 cites W1597161471 @default.
- W2018311933 cites W1986005904 @default.
- W2018311933 cites W2037965136 @default.
- W2018311933 cites W2064853889 @default.
- W2018311933 cites W2098296210 @default.
- W2018311933 cites W2128723273 @default.
- W2018311933 cites W2166559705 @default.
- W2018311933 cites W3039539181 @default.
- W2018311933 cites W64700738 @default.
- W2018311933 cites W2565420057 @default.
- W2018311933 cites W2753517818 @default.
- W2018311933 doi "https://doi.org/10.1145/1363686.1363898" @default.
- W2018311933 hasPublicationYear "2008" @default.
- W2018311933 type Work @default.
- W2018311933 sameAs 2018311933 @default.
- W2018311933 citedByCount "7" @default.
- W2018311933 countsByYear W20183119332012 @default.
- W2018311933 countsByYear W20183119332014 @default.
- W2018311933 countsByYear W20183119332015 @default.
- W2018311933 countsByYear W20183119332017 @default.
- W2018311933 crossrefType "proceedings-article" @default.
- W2018311933 hasAuthorship W2018311933A5006070343 @default.
- W2018311933 hasAuthorship W2018311933A5010182538 @default.
- W2018311933 hasAuthorship W2018311933A5023246483 @default.
- W2018311933 hasConcept C108010975 @default.
- W2018311933 hasConcept C11413529 @default.
- W2018311933 hasConcept C115961682 @default.
- W2018311933 hasConcept C124101348 @default.
- W2018311933 hasConcept C132525143 @default.
- W2018311933 hasConcept C153180895 @default.
- W2018311933 hasConcept C154945302 @default.
- W2018311933 hasConcept C193524817 @default.
- W2018311933 hasConcept C41008148 @default.
- W2018311933 hasConcept C6557445 @default.
- W2018311933 hasConcept C80444323 @default.
- W2018311933 hasConcept C86803240 @default.
- W2018311933 hasConcept C99498987 @default.
- W2018311933 hasConceptScore W2018311933C108010975 @default.
- W2018311933 hasConceptScore W2018311933C11413529 @default.
- W2018311933 hasConceptScore W2018311933C115961682 @default.
- W2018311933 hasConceptScore W2018311933C124101348 @default.
- W2018311933 hasConceptScore W2018311933C132525143 @default.
- W2018311933 hasConceptScore W2018311933C153180895 @default.
- W2018311933 hasConceptScore W2018311933C154945302 @default.
- W2018311933 hasConceptScore W2018311933C193524817 @default.
- W2018311933 hasConceptScore W2018311933C41008148 @default.
- W2018311933 hasConceptScore W2018311933C6557445 @default.
- W2018311933 hasConceptScore W2018311933C80444323 @default.
- W2018311933 hasConceptScore W2018311933C86803240 @default.
- W2018311933 hasConceptScore W2018311933C99498987 @default.
- W2018311933 hasLocation W20183119331 @default.
- W2018311933 hasOpenAccess W2018311933 @default.
- W2018311933 hasPrimaryLocation W20183119331 @default.
- W2018311933 hasRelatedWork W1979097693 @default.
- W2018311933 hasRelatedWork W1997795943 @default.
- W2018311933 hasRelatedWork W2139209853 @default.
- W2018311933 hasRelatedWork W2347219288 @default.
- W2018311933 hasRelatedWork W2370867976 @default.
- W2018311933 hasRelatedWork W2595804071 @default.
- W2018311933 hasRelatedWork W2964103096 @default.
- W2018311933 hasRelatedWork W2987936417 @default.
- W2018311933 hasRelatedWork W3185660617 @default.
- W2018311933 hasRelatedWork W4300972763 @default.
- W2018311933 isParatext "false" @default.
- W2018311933 isRetracted "false" @default.
- W2018311933 magId "2018311933" @default.
- W2018311933 workType "article" @default.