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Performance Analysis of Undersampling Approaches for Solving Customer Churn Prediction · Study

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ChapterPerformance Analysis of Undersampling Approaches for Solving Customer Churn Prediction

Geeta Mahadeo Ambildhuke2021

Chapter2021

Performance Analysis of Undersampling Approaches for Solving Customer Churn Prediction

Geeta Mahadeo Ambildhuke · G. Rekha · Amit Kumar Tyagi

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

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Customer churn and segmentation Machine Learning and Data Classification Imbalanced Data Classification Techniques

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References

2015A survey of results on mobile phone datasets analysis 2008Handling class imbalance in customer churn prediction 2015Telco Churn Prediction with Big Data 2016Methods for churn prediction in the pre-paid mobile telecommunications industry 2012Genetic Programming and Adaboosting based churn prediction for Telecom 2010Modeling Data Mining Applications for Prediction of Prepaid Churn in Telecommunication Services 2009A Study on Prediction of Customer Churn in Fixed Communication Network Based on Data Mining 2018Churn classification model for local telecommunication company based on rough set theory

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2019Customer churn prediction in telecom using machine learning in big data platformarticle · 6 shared references 2021Research Trends in Customer Churn Prediction: A Data Mining Approachother · 6 shared references 2021Customer churn prediction system: a machine learning approacharticle · 4 shared references 2021Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sectorarticle · 4 shared references 2022A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selectionarticle · 4 shared references 2023Prediction of customer churn using resampling and ensemble classification algorithms on telecom datasetother · 4 shared references

Details

Year2021

Typechapter

Published2021-01-01

VenueLecture notes in networks and systems

ISSN-L2367-3370

Languageen

Citations7

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-981-15-9689-6_37

openalex_workW3124361889

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