Detecting credit card fraud by decision trees and support vector machines

dc.authoridTR38414en_US
dc.authoridTR142351en_US
dc.contributor.authorŞahin, Yusuf G.
dc.contributor.authorDuman, Ekrem
dc.date.accessioned2016-01-29T12:15:53Z
dc.date.available2016-01-29T12:15:53Z
dc.date.issued2011-03
dc.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.descriptionDuman, Ekrem (Dogus Author) -- Conference full title: International MultiConference of Engineers and Computer Scientists: IMECS 2011: 16-18 March, 2011, the Royal Garden Hotel, Kowloon, Hong Kong -- Series: Lecture notes in engineering and computer science, v. 2188-2189.en_US
dc.description.abstractWith the developments in the Information Technology and improvements in the communication channels, fraud is spreading all over the world, resulting in huge financial losses. Though fraud prevention mechanisms such as CHIP&PIN are developed, these mechanisms do not prevent the most common fraud types such as fraudulent credit card usages over virtual POS terminals or mail orders. As a result, fraud detection is the essential tool and probably the best way to stop such fraud types. In this study, classification models based on decision trees and support vector machines (SVM) are developed and applied on credit card fraud detection problem. This study is one of the firsts to compare the performance of SVM and decision tree methods in credit card fraud detection with a real data set.en_US
dc.description.sponsorshipIAENG Society of Artificial Intelligence, IAENG Society of Bioinformatics, IAENG Society of Computer Science, IAENG Society of Data Mining, IAENG Society of Electrical Engineering.en_US
dc.identifier.citationŞahin, Y. G., Duman, E. (2011). Detecting credit card fraud by decision trees and support vector machines. In S. I. Ao, O. Castillo, C. Douglas, D. D. Feng, J. A. Lee (Eds.), Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 (Volume 1) (pp. 442-447). Hong Kong: International Association of Engineers.en_US
dc.identifier.endpage447en_US
dc.identifier.isbn9789881821034
dc.identifier.issn2078-0958
dc.identifier.issn2078-0966
dc.identifier.startpage442en_US
dc.identifier.urihttps://hdl.handle.net/11376/2366
dc.identifier.volume1en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDuman, Ekrem
dc.language.isoenen_US
dc.publisherNewswood Limiteden_US
dc.relation.ispartofProceedings of the International MultiConference of Engineers and Computer Scientists 2011en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectClassificationen_US
dc.subjectCredit Card Fraud Detectionen_US
dc.subjectDecision Treesen_US
dc.subjectSupport Vector Machinesen_US
dc.titleDetecting credit card fraud by decision trees and support vector machinesen_US
dc.typeConference Objecten_US

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