Sparrow Search Optimization with Ensemble of Machine Learning Model for Customer Retention Prediction and Classification

Author:

T Nirmalraj R. J.1,Rajeswari M.2,Hari Krishna Somanchi3,Haralayya Bhadrappa4,Narayanamurthy Rajadurai5,Unni Manu Vasudevan6

Affiliation:

1. School of Management, Hindustan Institute of Technology and Science,Chennai,Tamilnadu,India

2. School of Management, SRM Institute of Science and Technology (Deemed to be University),Chennai,Tamilnadu,India

3. Vignana Bharathi Institute of Technology,Department of Business Management,Hyderabad,Telangana,India

4. Lingaraj Appa Engineering College,Department of MBA,Bidar,Karnataka,India

5. SSBM- Swiss School of Management,Chennai,Tamilnadu,India

6. St. Claret College,Department of Management,Bangalore,Karnataka,India

Publisher

IEEE

Reference21 articles.

1. Hybrid ensemble learning approaches to customer churn prediction;tavassoli;Kybernetes,2021

2. APCA-AdaBoost model for E-commerce customer churn prediction;wu;Annals of Operations Research,2022

3. A High-Performance Customer Churn Prediction System Based on Self-Attention

4. Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer’s Disease Diagnosis

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automation using Artificial Intelligence in Business Landscape;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

2. Customer Churn Prediction in Telecommunication, Medical Industry Using Machine Learning Classification Models;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

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