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A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry · Study

WorkA Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry

Hossam Faris2014

Work2014

A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry

Hossam Faris · Bashar Awad Al-Shboul · Nazeeh Ghatasheh

21 citations·0/0 files stored·Lecture notes in computer science

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

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References

2008Handling class imbalance in customer churn prediction 2011Customer churn prediction in telecommunications 2009Customer churn prediction by hybrid neural networks 1984The acoustics, speech, and signal processing society - A historical perspective 2008Database Marketing: Analyzing and Managing Customers 2009Churn models for prepaid customers in the cellular telecommunication industry using large data marts 2010An extended support vector machine forecasting framework for customer churn in e-commerce 2012Modeling partial customer churn: On the value of first product-category purchase sequences

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2018An enhanced ensemble classifier for telecom churn prediction using cost based uplift modelling 2015Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industry

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2014Neighborhood Cleaning Rules and Particle Swarm Optimization for Predicting Customer Churn Behavior in Telecom Industryarticle · 5 shared references 2015Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industryarticle · 5 shared references 2014Predicting customer churn from valuable B2B customers in the logistics industry: a case studyarticle · 4 shared references 2013Customer attrition in retailing: An application of Multivariate Adaptive Regression Splinesarticle · 4 shared references 2013Customer Churn Prediction in Telecommunication A Decade Review and Classificationreview · 4 shared references 2022Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers’ purchasing behaviorarticle · 4 shared references

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Year2014

Typeother

Published2014-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations21

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-3-319-11289-3_36

openalex_workW1922493843

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