A case study of predicting banking customers behaviour by using data mining

Zhou, Xujuan and Bargshady, Ghazal and Abdar, Moloud and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Gururajan, Raj and Chan, K. C. (2019) A case study of predicting banking customers behaviour by using data mining. In: 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019), 28-30 Oct 2019, Beijing, China.

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Abstract

Data Mining (DM) is a technique that examines information stored in large database or data warehouse and find the patterns or trends in the data that are not yet known or suspected. DM techniques have been applied to a variety of different domains including Customer Relationship Management CRM). In this research, a new Customer Knowledge Management (CKM) framework based on data mining is proposed. The proposed data mining framework in this study manages relationships between banking organizations and their customers. Two typical data mining techniques - Neural Network and Association Rules - are applied to predict the behavior of customers and to increase the decision-making processes for recalling valued customers in banking industries. The experiments on the real world dataset are conducted and the different metrics are used to evaluate the performances of the two data mining models. The results indicate that the Neural Network model achieves better accuracy but takes longer time to train the model.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sept 2019 -)
Date Deposited: 11 Mar 2020 03:31
Last Modified: 31 Mar 2020 04:46
Uncontrolled Keywords: customer relationship management, customer knowledge management, data mining, neural networks, association rules
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/BESC48373.2019.8963436
URI: http://eprints.usq.edu.au/id/eprint/37300

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