IMPROVED DOUBLE-LEVEL BLENDING MODEL (IDLBM): CUSTOMER CHURN ESTIMATING IN INSURANCE INDUSTRY-Reference-Cited by-同舟云学术

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IMPROVED DOUBLE-LEVEL BLENDING MODEL (IDLBM): CUSTOMER CHURN ESTIMATING IN INSURANCE INDUSTRY

Published:2023-01-05 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Jajam Nagaraju¹,Challa Nagendra Panini¹,Prasanna KSL¹

Affiliation:

1. SCOPE, VIT-AP University,AP,India,522237

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10117587/10117572/10118051.pdf?arnumber=10118051

Reference21 articles.

1. PM based on rnn-cnn integrated deep learning model hourly concentration prediction [J];jie;Journal of Zhejiang University SCIENCE,2019

2. Application of model fusion in analysis of user's purchasing behavior [J];qiao;Minitype Computer System,2017

3. Combining classification algorithms[D];gama;Proto Universidade do Porto,2000

4. Prediction of Insurance sector Customer Churn Based on customer value and emotional characteristics [J];guoen;Journal of Management,2018

5. Building an Efficient Heart Disease Prediction System by using Clustering Techniques

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. Reinforcement Learning in Customer Churn Prediction for Insurance datasets;2023 IEEE Engineering Informatics;2023-11-22

2. Predicting Customer Churn in Insurance Industry Using Big Data and Machine Learning;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

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