Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896488239> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2896488239 abstract "Unavoidable noise in real-world categorical data presents significant challenges to existing outlier detection methods because they normally fail to separate noisy values from outlying values. Feature subspace-based methods inevitably mix noisy values when retaining an entire feature because a feature may contain both outlying values and noisy values. Pattern-based methods are normally based on frequency and are easily misled by noisy values, resulting in many faulty patterns. This paper introduces a novel unsupervised framework termed OUVAS, and its parameter-free instantiation RHAC to explore a high-quality outlying value set for detecting outliers in noisy categorical data. Based on the observation that the relations between values reflect their essence, OUVAS investigates value similarities to cluster values into different groups and combines cluster-level analysis and value-level refinement to identify an outlying value set. RHAC instantiates OUVAS by three successive modules (i.e., the combination of Ochiai coefficient and LOUVAIN algorithm to cluster values, hierarchical value coupling learning to perform cluster-level analysis, and a threshold to divide fake and real outlying values in value-level refinement). We show that (i) RHAC-based outlier detector significantly outperforms five state-of-the-art outlier detection methods; (ii) Extended RHAC-based feature selection method successfully improves the performance of existing outlier detectors and performs better than two latest outlying feature selection methods." @default.
- W2896488239 created "2018-10-26" @default.
- W2896488239 creator A5020240226 @default.
- W2896488239 creator A5065999911 @default.
- W2896488239 creator A5069698488 @default.
- W2896488239 creator A5075471645 @default.
- W2896488239 creator A5091676049 @default.
- W2896488239 date "2018-10-17" @default.
- W2896488239 modified "2023-09-26" @default.
- W2896488239 title "Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data" @default.
- W2896488239 cites W1995443851 @default.
- W2896488239 cites W2000661457 @default.
- W2896488239 cites W2056081083 @default.
- W2896488239 cites W2079557269 @default.
- W2896488239 cites W2090197195 @default.
- W2896488239 cites W2097714558 @default.
- W2896488239 cites W2098509290 @default.
- W2896488239 cites W2105896409 @default.
- W2896488239 cites W2110784166 @default.
- W2896488239 cites W2131681506 @default.
- W2896488239 cites W2144182447 @default.
- W2896488239 cites W2162774438 @default.
- W2896488239 cites W2170902455 @default.
- W2896488239 cites W2282861635 @default.
- W2896488239 cites W2561521190 @default.
- W2896488239 cites W2767534812 @default.
- W2896488239 cites W2783777501 @default.
- W2896488239 cites W2801804234 @default.
- W2896488239 doi "https://doi.org/10.1145/3269206.3271721" @default.
- W2896488239 hasPublicationYear "2018" @default.
- W2896488239 type Work @default.
- W2896488239 sameAs 2896488239 @default.
- W2896488239 citedByCount "15" @default.
- W2896488239 countsByYear W28964882392019 @default.
- W2896488239 countsByYear W28964882392020 @default.
- W2896488239 countsByYear W28964882392021 @default.
- W2896488239 countsByYear W28964882392022 @default.
- W2896488239 countsByYear W28964882392023 @default.
- W2896488239 crossrefType "proceedings-article" @default.
- W2896488239 hasAuthorship W2896488239A5020240226 @default.
- W2896488239 hasAuthorship W2896488239A5065999911 @default.
- W2896488239 hasAuthorship W2896488239A5069698488 @default.
- W2896488239 hasAuthorship W2896488239A5075471645 @default.
- W2896488239 hasAuthorship W2896488239A5091676049 @default.
- W2896488239 hasConcept C115961682 @default.
- W2896488239 hasConcept C119857082 @default.
- W2896488239 hasConcept C124101348 @default.
- W2896488239 hasConcept C138885662 @default.
- W2896488239 hasConcept C148483581 @default.
- W2896488239 hasConcept C153180895 @default.
- W2896488239 hasConcept C154945302 @default.
- W2896488239 hasConcept C177264268 @default.
- W2896488239 hasConcept C199360897 @default.
- W2896488239 hasConcept C2776401178 @default.
- W2896488239 hasConcept C32834561 @default.
- W2896488239 hasConcept C41008148 @default.
- W2896488239 hasConcept C41895202 @default.
- W2896488239 hasConcept C5274069 @default.
- W2896488239 hasConcept C58489278 @default.
- W2896488239 hasConcept C739882 @default.
- W2896488239 hasConcept C79337645 @default.
- W2896488239 hasConcept C99498987 @default.
- W2896488239 hasConceptScore W2896488239C115961682 @default.
- W2896488239 hasConceptScore W2896488239C119857082 @default.
- W2896488239 hasConceptScore W2896488239C124101348 @default.
- W2896488239 hasConceptScore W2896488239C138885662 @default.
- W2896488239 hasConceptScore W2896488239C148483581 @default.
- W2896488239 hasConceptScore W2896488239C153180895 @default.
- W2896488239 hasConceptScore W2896488239C154945302 @default.
- W2896488239 hasConceptScore W2896488239C177264268 @default.
- W2896488239 hasConceptScore W2896488239C199360897 @default.
- W2896488239 hasConceptScore W2896488239C2776401178 @default.
- W2896488239 hasConceptScore W2896488239C32834561 @default.
- W2896488239 hasConceptScore W2896488239C41008148 @default.
- W2896488239 hasConceptScore W2896488239C41895202 @default.
- W2896488239 hasConceptScore W2896488239C5274069 @default.
- W2896488239 hasConceptScore W2896488239C58489278 @default.
- W2896488239 hasConceptScore W2896488239C739882 @default.
- W2896488239 hasConceptScore W2896488239C79337645 @default.
- W2896488239 hasConceptScore W2896488239C99498987 @default.
- W2896488239 hasFunder F4320335595 @default.
- W2896488239 hasLocation W28964882391 @default.
- W2896488239 hasOpenAccess W2896488239 @default.
- W2896488239 hasPrimaryLocation W28964882391 @default.
- W2896488239 hasRelatedWork W1551587388 @default.
- W2896488239 hasRelatedWork W176952057 @default.
- W2896488239 hasRelatedWork W1966147156 @default.
- W2896488239 hasRelatedWork W2099984776 @default.
- W2896488239 hasRelatedWork W2105045879 @default.
- W2896488239 hasRelatedWork W2122407924 @default.
- W2896488239 hasRelatedWork W2791401766 @default.
- W2896488239 hasRelatedWork W2950186804 @default.
- W2896488239 hasRelatedWork W2986348730 @default.
- W2896488239 hasRelatedWork W3182611752 @default.
- W2896488239 isParatext "false" @default.
- W2896488239 isRetracted "false" @default.
- W2896488239 magId "2896488239" @default.
- W2896488239 workType "article" @default.