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New Method Based on Rough Set for Filling Missing Value

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dc.contributor.authorRasim Çekіk
dc.contributor.authorÇekіk, Rasim
dc.contributor.authorSedat Telçeken
dc.contributor.authorTelçeken, Sedat
dc.contributor.orcid0000-0002-7820-413X
dc.contributor.orcid0000-0002-0558-2180
dc.date.accessioned2025-11-13T22:23:35Z
dc.date.issued2018-01-01
dc.identifier.doihttps://doi.org/10.1007/978-3-319-75408-6_4
dc.identifier.endpage48
dc.identifier.issn1434-9922
dc.identifier.openalexW2807432741
dc.identifier.startpage41
dc.identifier.urihttps://hdl.handle.net/11421/14026
dc.identifier.urihttps://doi.org/10.1007/978-3-319-75408-6_4
dc.language.isoen
dc.relation.ispartofStudies in fuzziness and soft computing
dc.rightsrestrictedAccess
dc.subjectArtificial neural network
dc.subjectComputer science
dc.subjectClassifier (UML)
dc.subjectMissing data
dc.subjectData mining
dc.subjectArtificial intelligence
dc.subjectRough set
dc.subjectk-nearest neighbors algorithm
dc.subjectPattern recognition (psychology)
dc.subjectValue (mathematics)
dc.subjectSet (abstract data type)
dc.subjectAlgorithm
dc.subjectMachine learning
dc.titleNew Method Based on Rough Set for Filling Missing Value
dc.typebook-chapter
dspace.entity.typePublication
local.authorid.openalexA5054093788
local.authorid.openalexA5021000298

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