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dc.contributor.authorÖzçelik, M. Hamdi
dc.contributor.authorIşık, Mine
dc.contributor.authorDuman, Ekrem
dc.contributor.authorÇevik, Tuğba
dc.date.accessioned2016-03-24T08:33:20Z
dc.date.available2016-03-24T08:33:20Z
dc.date.issued2010-06
dc.identifier.citationÖzçelik, M. H., Işık, M., Duman, E., & Çevik, T. (2010). Improving a credit card fraud detection system using genetic algorithm. In 2010 International Conference on Networking and Information Technology (ICNIT) (pp. 436-440). Piscataway, NJ: IEEE. http://dx.doi.org/10.1109/ICNIT.2010.5508478en_US
dc.identifier.isbn9781424475797
dc.identifier.isbn9781424475780
dc.identifier.other11432153 (INSPEC)
dc.identifier.other5508478 (Scopus)
dc.identifier.urihttp://dx.doi.org/10.1109/ICNIT.2010.5508478
dc.identifier.urihttp://hdl.handle.net/11376/2461
dc.descriptionIşık, Mine (Dogus Author) -- Duman, Ekrem (Dogus Author) -- Conference full title: 2010 International Conference on Networking and Information Technology, ICNIT 2010; Manila; Philippines; 11 June 2010 through 12 June 2010en_US
dc.description.abstractIn this study we undertook the credit card fraud detection problem of a bank and tried to improve the performance of an existing solution. In doing so, we did not undertake the typical objective of maximizing the number of correctly classified transactions but rather we defined a new objective function where the misclassification costs are variable and thus, correct classification of some transactions are more important than correctly classifying the others. For this purpose we made an application of genetic algorithms which is a novel one in the related literature both in terms of the application domain and the cross-over operator used. The algorithm is applied to real life data where the savings obtained are almost three times the current practice.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/ICNIT.2010.5508478en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCredit Cardsen_US
dc.subjectFrauden_US
dc.subjectGenetic Algorithmsen_US
dc.subjectOptimizationen_US
dc.titleImproving a credit card fraud detection system using genetic algorithmen_US
dc.typeconferenceObjecten_US
dc.relation.journal2010 International Conference on Networking and Information Technology (ICNIT)en_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.contributor.authorIDTR60198en_US
dc.contributor.authorIDTR142351en_US
dc.identifier.startpage436en_US
dc.identifier.endpage440en_US


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