Publication:
Customer Chum Modelling in Banking

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IEEE

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Abstract

This 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.

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2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)

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2165-0608

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978-1-4673-7386-9

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