A Classification Based Model to Assess Customer Behavior in Banking Sector

Authors

  • A. Rahman Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan
  • M. N. A. Khan Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan

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.

Keywords:

customer, relationship, management, profitability, behavior, data mining, prediction

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How to Cite

[1]
A. Rahman and M. N. A. Khan, “A Classification Based Model to Assess Customer Behavior in Banking Sector”, Eng. Technol. Appl. Sci. Res., vol. 8, no. 3, pp. 2949–2953, Jun. 2018.

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