Kernelized Extreme Learning Machine Enabled Churn Predictive Financial Risk Assessment Model-Reference-Cited by-同舟云学术

Kernelized Extreme Learning Machine Enabled Churn Predictive Financial Risk Assessment Model

Published:2022-11-24 Issue: Volume: Page:
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Container-title:2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

Dimlo U.M.Fernandes¹,Huerta-Soto Rosario²^ORCID,Nivin-Vargas Laura³^ORCID,Tarazona-Jimenez John³^ORCID,Reyes-Reyes Carla⁴^ORCID,Girdharwal Nitin⁵

Affiliation:

1. Sreyas Institute of Engineering and Technology, Nagole,Department of CSE,Hyderabad,Telangana,India

2. Universidad Cesar Vallejo,Lima,Peru

3. Universidad Nacional Santiago Antunez de Mayolo,Huaraz,Peru

4. Universidad Señor de Sipán,Chiclayo,Peru

5. Medi-caps University,Faculty of Management,Indore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10010702/10010572/10010834.pdf?arnumber=10010834

Reference19 articles.

1. Customer churn prediction in the software by subscription models it business using machine learning methods;kolomiiets;CEUR Workshop Proc,0

2. Development of fading channel patch based convolutional neural network models for customer churn prediction;gupta;International Journal of System Assurance Engineering and Management,2022

3. Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector

4. Customers churn prediction in financial institution using artificial neural network;amuda;ArXiv Preprint,2019

5. A data mining-based framework for supply chain risk management

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