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An Approach to Mitigate the Risk of Customer Churn Using Machine Learning Algorithms · Study

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ChapterAn Approach to Mitigate the Risk of Customer Churn Using Machine Learning Algorithms

Debajyoti Mukhopadhyay2020

Chapter2020

An Approach to Mitigate the Risk of Customer Churn Using Machine Learning Algorithms

Debajyoti Mukhopadhyay · Aarati Malusare · Anagha Nandanwar · Shriya Sakshi

6 citations·0/0 files stored·Lecture notes in networks and systems

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Customer churn and segmentation Customer Service Quality and Loyalty Data Mining and Machine Learning Applications

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References

2012A Customer Churn Prediction Model in Telecom Industry Using Boosting 2017Churn prediction on huge telecom data using hybrid firefly based classification 2017Churn Prediction in Telecommunication Industry using Decision Tree 2014Telecom Customer Churn Prediction Method Based on Cluster Stratified Sampling Logistic Regression 2017Partition cost-sensitive CART based on customer value for Telecom customer churn prediction 2014Ensemble Based Efficient Churn Prediction Model for Telecom 2016Application of customer churn prediction based on weighted selective ensembles

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Year2020

Typechapter

Published2020-10-22

VenueLecture notes in networks and systems

ISSN-L2367-3370

Languageen

Citations6

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-981-15-7106-0_13

openalex_workW3094094874

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