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A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System

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dc.contributor.authorGünal, Serkan
dc.contributor.authorSinem Bozkurt Keser
dc.contributor.authorSerkan Günal
dc.contributor.authorUğur Yayan
dc.contributor.orcid0000-0001-5589-2032
dc.contributor.orcid0000-0002-8013-6922
dc.contributor.orcid0000-0002-9691-1575
dc.contributor.orcid0000-0003-1394-5209
dc.date.accessioned2025-11-13T10:54:17Z
dc.date.issued2018-06-18
dc.identifier.doihttps://doi.org/10.1142/s0218213018500185
dc.identifier.endpage1850018
dc.identifier.issn0218-2130
dc.identifier.issue05
dc.identifier.openalexW2809410847
dc.identifier.startpage1850018
dc.identifier.urihttps://hdl.handle.net/11421/5614
dc.identifier.urihttps://doi.org/10.1142/s0218213018500185
dc.identifier.volume27
dc.language.isoen
dc.relation.ispartofInternational Journal of Artificial Intelligence Tools
dc.rightsrestrictedAccess
dc.subjectComputer science
dc.subjectMachine learning
dc.subjectDecision tree
dc.subjectArtificial intelligence
dc.subjectAdaBoost
dc.subjectNaive Bayes classifier
dc.subjectSupport vector machine
dc.subjectEnsemble learning
dc.subjectDecision stump
dc.subjectProcess (computing)
dc.subjectData mining
dc.subjectDecision tree learning
dc.subjectIncremental decision tree
dc.subject.sdg16
dc.titleA Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5003391938

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