Modelling bank customer behaviour using feature engineering and classification techniques-Reference-Cited by-同舟云学术

Modelling bank customer behaviour using feature engineering and classification techniques

Published:2023-04 Issue: Volume:65 Page:101913
ISSN:0275-5319
Container-title:Research in International Business and Finance
language:en
Short-container-title:Research in International Business and Finance

Author:

Abedin Mohammad Zoynul^ORCID,Hajek Petr,Sharif Taimur,Satu Md. Shahriare,Khan Md. Imran

Publisher

Elsevier BV

Subject

Finance,Business, Management and Accounting (miscellaneous)

Reference53 articles.

1. A new methodology for customer behavior analysis using time series clustering: A case study on a bank’s customers;Abbasimehr;Kybernetes,2019

2. Tax default prediction using feature transformation-based machine learning;Abedin;IEEE Access,2020

3. Topological applications of multilayer perceptrons and support vector machines in financial decision support systems;Abedin;Int. J. Finance Econ.,2019

4. An optimized support vector machine intelligent technique using optimized feature selection methods: evidence from Chinese credit approval data;Abedin;J. Risk Model Valid.,2019

5. Machine learning-based models for early stage detection of autism spectrum disorders;Akter;IEEE Access,2019

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