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Poverty Level Characterization via Feature Selection and Machine Learning

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dc.contributor.authorMohamud, Jama Hussein
dc.contributor.authorÖmer Nezih Gerek
dc.contributor.orcid0000-0001-8183-1356
dc.date.accessioned2025-11-13T11:20:54Z
dc.date.issued2019-04-01
dc.identifier.doihttps://doi.org/10.1109/siu.2019.8806548
dc.identifier.openalexW2969353159
dc.identifier.urihttps://hdl.handle.net/11421/6502
dc.identifier.urihttps://doi.org/10.1109/siu.2019.8806548
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectFeature selection
dc.subjectComputer science
dc.subjectPoverty
dc.subjectMachine learning
dc.subjectArtificial intelligence
dc.subjectSelection (genetic algorithm)
dc.subjectFeature (linguistics)
dc.subjectCharacterization (materials science)
dc.subjectEconomics
dc.subjectMaterials science
dc.subjectEconomic growth
dc.subjectNanotechnology
dc.subject.sdg1
dc.titlePoverty Level Characterization via Feature Selection and Machine Learning
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5076444645

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