A Classification Based Model to Assess Customer Behavior in Banking Sector
Journal Title: Engineering, Technology & Applied Science Research - Year 2018, Vol 8, Issue 3
Abstract
A customer relationship management system is used to manage company relationships with current and possible customers. Following a thorough review of contemporary literature, different data mining techniques employed in different types of business, corporate sectors and organizations are analyzed. A model that would be helpful to identify customers’ behavior in the banking sector is then proposed. Three classifiers, k-NN, decision tree and artificial neural networks are used to predict customer behavior and are assessed in order to determine which classifier performs better for predicting customer behavior in the banking sector.
Authors and Affiliations
A. Rahman, M. N. A. Khan
Keywords
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