FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306407846> ?p ?o ?g. }

• W4306407846 endingPage "29" @default.
• W4306407846 startingPage "1" @default.
• W4306407846 abstract "Outlier detection has been broadly used in industrial practices such as public security and fraud detection, etc. Outlier detection from various perspectives against different backgrounds has been proposed. However, most of outlier detection consider categorical or numerical data. There are few researches on outlier detection for set-valued data, and a set-valued information system (SVIS) is a proper way of tackling the problem of missing values in data sets. This paper investigates outlier detection for set-valued data based on rough set theory (RST) and granular computing (GrC). First, the similarity between two information values in an SVIS is introduced and a variable parameter to control the similarity is given. Then, the tolerance relations on the object set are defined, and based on this tolerance relation, θ-lower and θ-upper approximations in an SVIS are put forward. Next, the outlier factor in an SVIS is presented and applied to various data sets. Finally, outlier detection method for set-valued data based on RST and GrC is proposed, and the corresponding algorithms are designed. Through numerical experiments based on UCI, the designed algorithm is compared with six other detection algorithms. The experimental results show the designed algorithm is arguably the best choice under the context of an SVIS. It is worth mentioning that for a comprehensive comparison, we use two criteria: AUC value and F-1 measure, to show the superiority of the designed algorithm." @default.
• W4306407846 created "2022-10-17" @default.
• W4306407846 creator A5033227324 @default.
• W4306407846 creator A5086034088 @default.
• W4306407846 date "2022-10-17" @default.
• W4306407846 modified "2023-09-29" @default.
• W4306407846 title "Outlier detection for set-valued data based on rough set theory and granular computing" @default.
• W4306407846 cites W1562152585 @default.
• W4306407846 cites W1590946452 @default.
• W4306407846 cites W1966564418 @default.
• W4306407846 cites W1970088130 @default.
• W4306407846 cites W1974763041 @default.
• W4306407846 cites W1992419399 @default.
• W4306407846 cites W2007810691 @default.
• W4306407846 cites W2016006067 @default.
• W4306407846 cites W2019014808 @default.
• W4306407846 cites W2027654459 @default.
• W4306407846 cites W2036999870 @default.
• W4306407846 cites W2041193317 @default.
• W4306407846 cites W2043051613 @default.
• W4306407846 cites W2049058890 @default.
• W4306407846 cites W2059228994 @default.
• W4306407846 cites W2059429344 @default.
• W4306407846 cites W2073411490 @default.
• W4306407846 cites W2083047046 @default.
• W4306407846 cites W2084744288 @default.
• W4306407846 cites W2098093602 @default.
• W4306407846 cites W2123402141 @default.
• W4306407846 cites W2127775588 @default.
• W4306407846 cites W2129281431 @default.
• W4306407846 cites W2141741236 @default.
• W4306407846 cites W2147597050 @default.
• W4306407846 cites W2153676086 @default.
• W4306407846 cites W2168523997 @default.
• W4306407846 cites W2416404380 @default.
• W4306407846 cites W2464988613 @default.
• W4306407846 cites W2473601878 @default.
• W4306407846 cites W2561208659 @default.
• W4306407846 cites W2893942333 @default.
• W4306407846 cites W2901560888 @default.
• W4306407846 cites W2956917852 @default.
• W4306407846 cites W3096652072 @default.
• W4306407846 cites W3112257885 @default.
• W4306407846 cites W4211007335 @default.
• W4306407846 cites W4232953319 @default.
• W4306407846 cites W4254420769 @default.
• W4306407846 cites W4255833381 @default.
• W4306407846 cites W1494402569 @default.
• W4306407846 doi "https://doi.org/10.1080/03081079.2022.2132491" @default.
• W4306407846 hasPublicationYear "2022" @default.
• W4306407846 type Work @default.
• W4306407846 citedByCount "0" @default.
• W4306407846 crossrefType "journal-article" @default.
• W4306407846 hasAuthorship W4306407846A5033227324 @default.
• W4306407846 hasAuthorship W4306407846A5086034088 @default.
• W4306407846 hasConcept C103278499 @default.
• W4306407846 hasConcept C111012933 @default.
• W4306407846 hasConcept C11413529 @default.
• W4306407846 hasConcept C115961682 @default.
• W4306407846 hasConcept C119857082 @default.
• W4306407846 hasConcept C124101348 @default.
• W4306407846 hasConcept C151730666 @default.
• W4306407846 hasConcept C153180895 @default.
• W4306407846 hasConcept C154945302 @default.
• W4306407846 hasConcept C177264268 @default.
• W4306407846 hasConcept C199360897 @default.
• W4306407846 hasConcept C2776517306 @default.
• W4306407846 hasConcept C2779343474 @default.
• W4306407846 hasConcept C2780009758 @default.
• W4306407846 hasConcept C33923547 @default.
• W4306407846 hasConcept C41008148 @default.
• W4306407846 hasConcept C5274069 @default.
• W4306407846 hasConcept C58489278 @default.
• W4306407846 hasConcept C739882 @default.
• W4306407846 hasConcept C79337645 @default.
• W4306407846 hasConcept C86803240 @default.
• W4306407846 hasConceptScore W4306407846C103278499 @default.
• W4306407846 hasConceptScore W4306407846C111012933 @default.
• W4306407846 hasConceptScore W4306407846C11413529 @default.
• W4306407846 hasConceptScore W4306407846C115961682 @default.
• W4306407846 hasConceptScore W4306407846C119857082 @default.
• W4306407846 hasConceptScore W4306407846C124101348 @default.
• W4306407846 hasConceptScore W4306407846C151730666 @default.
• W4306407846 hasConceptScore W4306407846C153180895 @default.
• W4306407846 hasConceptScore W4306407846C154945302 @default.
• W4306407846 hasConceptScore W4306407846C177264268 @default.
• W4306407846 hasConceptScore W4306407846C199360897 @default.
• W4306407846 hasConceptScore W4306407846C2776517306 @default.
• W4306407846 hasConceptScore W4306407846C2779343474 @default.
• W4306407846 hasConceptScore W4306407846C2780009758 @default.
• W4306407846 hasConceptScore W4306407846C33923547 @default.
• W4306407846 hasConceptScore W4306407846C41008148 @default.
• W4306407846 hasConceptScore W4306407846C5274069 @default.
• W4306407846 hasConceptScore W4306407846C58489278 @default.
• W4306407846 hasConceptScore W4306407846C739882 @default.
• W4306407846 hasConceptScore W4306407846C79337645 @default.
• W4306407846 hasConceptScore W4306407846C86803240 @default.
• W4306407846 hasFunder F4320321001 @default.

• next