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Customer Chum Modelling in Banking

dc.contributor.authorSen, Kubra
dc.contributor.authorBayazit, Nilgun Guler
dc.date.accessioned2026-06-27T13:54:54Z
dc.date.issued2015
dc.description.abstractThis paper proposes a customer churn model for a private bank in Turkey. It is more challenging to put forth a model for banking sector as there are no contractual agreements between a customer and a bank regarding the duration of services. During the development of the model, we first converted the raw data into a usable and meaningful form. Later, using data mining techniques on our data, we have developed a churn prediction model. Prediction performance is evaluated using accuracy, sensitivity, specificity, kappa statistic and area under the curve based measures.en
dc.identifier.endpage2387
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.startpage2384
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55646
dc.identifier.wos000380500900579
dc.language.isotur
dc.publisherIEEE
dc.relation.conference23nd Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectCustomer churn prediction
dc.subjectcutomer retention
dc.subjectCRM
dc.subjectdata mining
dc.subjectdecision trees
dc.subjectneural networks
dc.subjectregression
dc.subjectrandom forests
dc.subjectPREDICTION
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleCustomer Chum Modelling in Banking
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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