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In this paper, within the framework of the Act on the Right of Information Acquirement, an electronic application classification system has been developed in order to eliminate such problems as the waste of workforce and time during the classification of electronic applications to the institutions. The system first classifies the electronic applications to Erzincan University then forwards them to the relevant Chambers of Affairs. Artificial Neural Network based system, which considerably accelerates the flux of work and hinders the waste of workforce, is a word based and supervised learning system and it works with 98% accuracy.

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dc.contributor.authorKılağız, Yavuz
dc.contributor.authorBaran, Ahmet
dc.date.accessioned2026-10-20T11:04:48.754237363Z
dc.date.available2026-10-20T11:04:48.754237363Z
dc.date.issued2009
dc.description.abstractIn this paper, within the framework of the Act on the Right of Information Acquirement, an electronic application classification system has been developed in order to eliminate such problems as the waste of workforce and time during the classification of electronic applications to the institutions. The system first classifies the electronic applications to Erzincan University then forwards them to the relevant Chambers of Affairs. Artificial Neural Network based system, which considerably accelerates the flux of work and hinders the waste of workforce, is a word based and supervised learning system and it works with 98% accuracy.
dc.identifier.eissn2147-7582
dc.identifier.endpage41
dc.identifier.issn1300-4646
dc.identifier.issue4
dc.identifier.startpage27
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/21729
dc.identifier.volume23
dc.language.isotr
dc.relation.ispartofAtatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBilgisayar Bilimleri, Yazılım Mühendisliği
dc.title-
dc.typeArticle
dspace.entity.typePublication
rdl.citation.trdizin0
rdl.source.indexTRDIZIN