Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1957
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dc.contributor.authorŞahin, Türkay-
dc.contributor.authorFiliz, Gözde-
dc.contributor.authorÇakar, Tuna-
dc.contributor.authorÖzvural, Özden Gebizlioğlu-
dc.contributor.authorNicat, Şahin-
dc.date.accessioned2023-10-18T12:06:11Z
dc.date.available2023-10-18T12:06:11Z
dc.date.issued2023-
dc.identifier.citationFiliz, G., Nicat, Ş., Şahin, T., Özvural, Ö. G., & Çakar, T. (2023, July). Alternative Data Sources and Psychometric Scales Supported Credit Scoring Models. In 2023 31st Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.en_US
dc.identifier.isbn9798350343557-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://doi.org/10.1109/SIU59756.2023.10223937-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1957-
dc.description.abstractThis study aims to evaluate individuals with limited access to banking services and enhance credit scoring models with alternative data sources. A psychometric-based credit scoring model was developed and tested. Despite limited data, significant potential findings were obtained. However, clarification of the distinction between credit payment intention and ability and validation of the results with more data are necessary.en_US
dc.description.sponsorshipIEEE,TUBITAK BILGEM,Turkcellen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCredit scoringen_US
dc.subjectPsychometric dataen_US
dc.subjectAlternative data sourcesen_US
dc.titleAlternative Data Sources and Psychometric Scales Supported Credit Scoring Modelsen_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/SIU59756.2023.10223937-
dc.identifier.scopus2-s2.0-85173491184en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science - Conference Proceedings Citation Index - Social Science & Humanities-
dc.description.WoSDocumentTypeProceedings Paper
dc.description.WoSInternationalCollaborationUluslararası işbirliği ile yapılmayan - HAYIRen_US
dc.description.WoSPublishedMonthEkimen_US
dc.description.WoSIndexDate2023en_US
dc.description.WoSYOKperiodYÖK - 2022-23en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.departmentMühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.relation.journal31st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEYen_US
dc.relation.journal2023 31st Signal Processing and Communications Applications Conference, Siuen_US
dc.identifier.wosWOS:001062571000165en_US
dc.institutionauthorÇakar, Tuna-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextembargo_20400101-
item.fulltextWith Fulltext-
crisitem.author.dept02.02. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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