Matches in SemOpenAlex for { <https://semopenalex.org/work/W2804866778> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2804866778 endingPage "16" @default.
- W2804866778 startingPage "1" @default.
- W2804866778 abstract "Many real-world datasets suffer from the unavoidable issue of missing values. Classification with incomplete data has to be carefully handled because inadequate treatment of missing values will cause large classification errors. Using imputation to transform incomplete data into complete data is a common approach to classification with incomplete data. However, simple imputation methods are often not accurate, and powerful imputation methods are usually computationally intensive. A recent approach to handling incomplete data constructs an ensemble of classifiers, each tailored to a known pattern of missing data. The main advantage of this approach is that it can classify new incomplete instances without requiring any imputation. This paper proposes an improvement on the ensemble approach by integrating imputation and genetic-based feature selection. The imputation creates higher quality training data. The feature selection reduces the number of missing patterns which increases the speed of classification, and greatly increases the fraction of new instances that can be classified by the ensemble. The results of experiments show that the proposed method is more accurate, and faster than previous common methods for classification with incomplete data." @default.
- W2804866778 created "2018-06-01" @default.
- W2804866778 creator A5034493423 @default.
- W2804866778 creator A5043334999 @default.
- W2804866778 creator A5051439492 @default.
- W2804866778 creator A5064651987 @default.
- W2804866778 creator A5077569089 @default.
- W2804866778 date "2018-08-01" @default.
- W2804866778 modified "2023-10-16" @default.
- W2804866778 title "An effective and efficient approach to classification with incomplete data" @default.
- W2804866778 cites W1841820628 @default.
- W2804866778 cites W1973315244 @default.
- W2804866778 cites W1983479840 @default.
- W2804866778 cites W1985419027 @default.
- W2804866778 cites W2005861721 @default.
- W2804866778 cites W2019381370 @default.
- W2804866778 cites W2045427344 @default.
- W2804866778 cites W2079616103 @default.
- W2804866778 cites W2102720558 @default.
- W2804866778 cites W2104157166 @default.
- W2804866778 cites W2115098571 @default.
- W2804866778 cites W2115884121 @default.
- W2804866778 cites W2124619447 @default.
- W2804866778 cites W2133990480 @default.
- W2804866778 cites W2134843796 @default.
- W2804866778 cites W2146332392 @default.
- W2804866778 cites W2154053567 @default.
- W2804866778 cites W2158934641 @default.
- W2804866778 cites W2159798994 @default.
- W2804866778 cites W2162210260 @default.
- W2804866778 cites W2167101736 @default.
- W2804866778 cites W2167917621 @default.
- W2804866778 cites W2343420905 @default.
- W2804866778 cites W2512307027 @default.
- W2804866778 cites W2567086669 @default.
- W2804866778 cites W2603025843 @default.
- W2804866778 cites W2733232575 @default.
- W2804866778 cites W2761075141 @default.
- W2804866778 cites W577421504 @default.
- W2804866778 doi "https://doi.org/10.1016/j.knosys.2018.05.013" @default.
- W2804866778 hasPublicationYear "2018" @default.
- W2804866778 type Work @default.
- W2804866778 sameAs 2804866778 @default.
- W2804866778 citedByCount "24" @default.
- W2804866778 countsByYear W28048667782018 @default.
- W2804866778 countsByYear W28048667782019 @default.
- W2804866778 countsByYear W28048667782020 @default.
- W2804866778 countsByYear W28048667782021 @default.
- W2804866778 countsByYear W28048667782022 @default.
- W2804866778 countsByYear W28048667782023 @default.
- W2804866778 crossrefType "journal-article" @default.
- W2804866778 hasAuthorship W2804866778A5034493423 @default.
- W2804866778 hasAuthorship W2804866778A5043334999 @default.
- W2804866778 hasAuthorship W2804866778A5051439492 @default.
- W2804866778 hasAuthorship W2804866778A5064651987 @default.
- W2804866778 hasAuthorship W2804866778A5077569089 @default.
- W2804866778 hasConcept C119857082 @default.
- W2804866778 hasConcept C124101348 @default.
- W2804866778 hasConcept C148483581 @default.
- W2804866778 hasConcept C153180895 @default.
- W2804866778 hasConcept C154945302 @default.
- W2804866778 hasConcept C41008148 @default.
- W2804866778 hasConcept C45942800 @default.
- W2804866778 hasConcept C58041806 @default.
- W2804866778 hasConcept C9357733 @default.
- W2804866778 hasConceptScore W2804866778C119857082 @default.
- W2804866778 hasConceptScore W2804866778C124101348 @default.
- W2804866778 hasConceptScore W2804866778C148483581 @default.
- W2804866778 hasConceptScore W2804866778C153180895 @default.
- W2804866778 hasConceptScore W2804866778C154945302 @default.
- W2804866778 hasConceptScore W2804866778C41008148 @default.
- W2804866778 hasConceptScore W2804866778C45942800 @default.
- W2804866778 hasConceptScore W2804866778C58041806 @default.
- W2804866778 hasConceptScore W2804866778C9357733 @default.
- W2804866778 hasFunder F4320309617 @default.
- W2804866778 hasLocation W28048667781 @default.
- W2804866778 hasOpenAccess W2804866778 @default.
- W2804866778 hasPrimaryLocation W28048667781 @default.
- W2804866778 hasRelatedWork W1574575415 @default.
- W2804866778 hasRelatedWork W2024529227 @default.
- W2804866778 hasRelatedWork W2081476516 @default.
- W2804866778 hasRelatedWork W2181530120 @default.
- W2804866778 hasRelatedWork W2581984549 @default.
- W2804866778 hasRelatedWork W3028371478 @default.
- W2804866778 hasRelatedWork W3144172081 @default.
- W2804866778 hasRelatedWork W3179858851 @default.
- W2804866778 hasRelatedWork W4211215373 @default.
- W2804866778 hasRelatedWork W3123177881 @default.
- W2804866778 hasVolume "154" @default.
- W2804866778 isParatext "false" @default.
- W2804866778 isRetracted "false" @default.
- W2804866778 magId "2804866778" @default.
- W2804866778 workType "article" @default.