Work

A Classification Based Model to Assess Customer Behavior in Banking Sector

Year: 2018

Type: article

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.

Source: Engineering Technology & Applied Science Research

DOI: 10.48084/etasr.1917

Authors: A. Rahman, M. N. A. Khan

Institution: Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $431

OpenAlex ID: W2809118950

FWCI:

Cites: 18

Cited by: 11

Related to: 10