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A High-Performance Customer Churn Prediction System Based on Self-Attention · Study

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PreprintA High-Performance Customer Churn Prediction System Based on Self-Attention

Haotian Wu2022

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Preprintgreen2022

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

10 citations·0/0 files stored·SSRN Electronic Journal

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Customer churn and segmentation Customer Service Quality and Loyalty AI and HR Technologies

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References

2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees 2015A comparison of machine learning techniques for customer churn prediction 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach 2008Customer churn prediction using improved balanced random forests 2011Customer churn prediction in telecommunications 2009Customer churn prediction by hybrid neural networks 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring 2003What Is the True Value of a Lost Customer?

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2018Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industryarticle · 8 shared references 2020Machine Learning for Customer Churn Prediction in Retail Bankingother · 8 shared references 2015Customer churn prediction in telecommunicationother · 8 shared references 2013Customer Churn Prediction in Telecommunication A Decade Review and Classificationreview · 7 shared references 2018A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factorsarticle · 7 shared references 2023Predicting customer churn using grey wolf optimization‐based support vector machine with principal component analysisarticle · 7 shared references

Details

Year2022

Typepreprint

Published2022-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations10

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.2139/ssrn.4145486

openalex_workW4281828831

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