Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912187835> ?p ?o ?g. }
- W2912187835 endingPage "474" @default.
- W2912187835 startingPage "462" @default.
- W2912187835 abstract "Data classification and prediction problems are prevalent in many domains. The need to predict to which class a particular data point belongs has been seen in areas such as medical diagnosis, credit rating, Web filtering, prediction, and stock rating. This has led to strong interest in developing systems that can accurately classify data and predict outcome. The classification is typically based on the feature values of objects being classified. Often, a form of ordering relation, defined by feature values, on the objects to be classified is known. For instance, the objects belonging to one class have larger (or smaller) feature values than do those in the other class. Exploiting this characteristic of isotonicity, we propose a data-classification method called isotonic separation based on linear programming, especially network programming. The paper also addresses an extension of the isotonic-separation method for continuous outcome prediction. Applications of the isotonic separation for discrete outcome prediction and its extension for continuous outcome prediction are shown to illustrate its applicability." @default.
- W2912187835 created "2019-02-21" @default.
- W2912187835 creator A5007759441 @default.
- W2912187835 creator A5036983497 @default.
- W2912187835 creator A5038717839 @default.
- W2912187835 creator A5045009235 @default.
- W2912187835 date "2005-11-01" @default.
- W2912187835 modified "2023-09-27" @default.
- W2912187835 title "Isotonic Separation" @default.
- W2912187835 cites W1509718986 @default.
- W2912187835 cites W1969557815 @default.
- W2912187835 cites W1989164753 @default.
- W2912187835 cites W1996657094 @default.
- W2912187835 cites W2001619934 @default.
- W2912187835 cites W2014374971 @default.
- W2912187835 cites W2032592968 @default.
- W2912187835 cites W2042243997 @default.
- W2912187835 cites W2045433410 @default.
- W2912187835 cites W2050206309 @default.
- W2912187835 cites W2051381803 @default.
- W2912187835 cites W2060591526 @default.
- W2912187835 cites W2076123903 @default.
- W2912187835 cites W2076533147 @default.
- W2912187835 cites W2093799708 @default.
- W2912187835 cites W2103985627 @default.
- W2912187835 cites W2107784689 @default.
- W2912187835 cites W2120216197 @default.
- W2912187835 cites W2124532504 @default.
- W2912187835 cites W2139212933 @default.
- W2912187835 cites W2148245374 @default.
- W2912187835 cites W2150154671 @default.
- W2912187835 cites W2161349318 @default.
- W2912187835 cites W2163200437 @default.
- W2912187835 cites W2214193240 @default.
- W2912187835 cites W2951539267 @default.
- W2912187835 cites W4213332169 @default.
- W2912187835 cites W4236137412 @default.
- W2912187835 doi "https://doi.org/10.1287/ijoc.1030.0061" @default.
- W2912187835 hasPublicationYear "2005" @default.
- W2912187835 type Work @default.
- W2912187835 sameAs 2912187835 @default.
- W2912187835 citedByCount "49" @default.
- W2912187835 countsByYear W29121878352012 @default.
- W2912187835 countsByYear W29121878352013 @default.
- W2912187835 countsByYear W29121878352014 @default.
- W2912187835 countsByYear W29121878352015 @default.
- W2912187835 countsByYear W29121878352016 @default.
- W2912187835 countsByYear W29121878352017 @default.
- W2912187835 countsByYear W29121878352018 @default.
- W2912187835 countsByYear W29121878352019 @default.
- W2912187835 countsByYear W29121878352020 @default.
- W2912187835 countsByYear W29121878352021 @default.
- W2912187835 countsByYear W29121878352023 @default.
- W2912187835 crossrefType "journal-article" @default.
- W2912187835 hasAuthorship W2912187835A5007759441 @default.
- W2912187835 hasAuthorship W2912187835A5036983497 @default.
- W2912187835 hasAuthorship W2912187835A5038717839 @default.
- W2912187835 hasAuthorship W2912187835A5045009235 @default.
- W2912187835 hasConcept C119857082 @default.
- W2912187835 hasConcept C124101348 @default.
- W2912187835 hasConcept C138885662 @default.
- W2912187835 hasConcept C144237770 @default.
- W2912187835 hasConcept C148220186 @default.
- W2912187835 hasConcept C153180895 @default.
- W2912187835 hasConcept C154945302 @default.
- W2912187835 hasConcept C2776401178 @default.
- W2912187835 hasConcept C2777212361 @default.
- W2912187835 hasConcept C33923547 @default.
- W2912187835 hasConcept C41008148 @default.
- W2912187835 hasConcept C41895202 @default.
- W2912187835 hasConceptScore W2912187835C119857082 @default.
- W2912187835 hasConceptScore W2912187835C124101348 @default.
- W2912187835 hasConceptScore W2912187835C138885662 @default.
- W2912187835 hasConceptScore W2912187835C144237770 @default.
- W2912187835 hasConceptScore W2912187835C148220186 @default.
- W2912187835 hasConceptScore W2912187835C153180895 @default.
- W2912187835 hasConceptScore W2912187835C154945302 @default.
- W2912187835 hasConceptScore W2912187835C2776401178 @default.
- W2912187835 hasConceptScore W2912187835C2777212361 @default.
- W2912187835 hasConceptScore W2912187835C33923547 @default.
- W2912187835 hasConceptScore W2912187835C41008148 @default.
- W2912187835 hasConceptScore W2912187835C41895202 @default.
- W2912187835 hasIssue "4" @default.
- W2912187835 hasLocation W29121878351 @default.
- W2912187835 hasOpenAccess W2912187835 @default.
- W2912187835 hasPrimaryLocation W29121878351 @default.
- W2912187835 hasRelatedWork W2382607599 @default.
- W2912187835 hasRelatedWork W2546942002 @default.
- W2912187835 hasRelatedWork W2961085424 @default.
- W2912187835 hasRelatedWork W2970216048 @default.
- W2912187835 hasRelatedWork W3046775127 @default.
- W2912187835 hasRelatedWork W4285260836 @default.
- W2912187835 hasRelatedWork W4286629047 @default.
- W2912187835 hasRelatedWork W4306321456 @default.
- W2912187835 hasRelatedWork W4306674287 @default.
- W2912187835 hasRelatedWork W4224009465 @default.
- W2912187835 hasVolume "17" @default.
- W2912187835 isParatext "false" @default.