An early warning model for customer churn prediction in telecommunication sector based on improved bat algorithm to optimize ELM
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22421
Abstract: The competition in the telecommunications industry is mainly reflected in the competition for the number of key customers. Therefore, how to effectively prevent the loss of large customers is a problem that many telecommunications companies… read more here.
Keywords: churn; bat algorithm; model; customer churn ... See more keywords
An improved analytical approach for customer churn prediction using Grey Wolf Optimization approach based on stochastic customer profiling over a retail shopping analysis: CUPGO
Sign Up to like & getrecommendations! Published in 2021 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-019-00282-x
Abstract: Challenge of an early prediction of customer churn is a major demand among research community. To understand an intention of a customer on reasons to make a churn as well time taken by a customer… read more here.
Keywords: churn; customer; customer churn; approach ... See more keywords
Customer churn prediction in the telecommunication sector using a rough set approach
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.009
Abstract: Customer churn is a critical and challenging problem affecting business and industry, in particular, the rapidly growing, highly competitive telecommunication sector. It is of substantial interest to both academic researchers and industrial practitioners, interested in… read more here.
Keywords: churn; customer; telecommunication sector; approach ... See more keywords
A Stacking-Based Data Mining Solution to Customer Churn Prediction
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DOI: 10.1080/15332667.2021.1889743
Abstract: Abstract In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies. Despite… read more here.
Keywords: churn; data mining; customer; solution ... See more keywords
Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9028580
Abstract: Customer churn prediction is one of the challenging problems and paramount concerns for telecommunication industries. With the increasing number of mobile operators, users can switch from one mobile operator to another if they are unsatisfied… read more here.
Keywords: churn; cost; churn prediction; customer churn ... See more keywords
Customer churn prediction in telecom using machine learning in big data platform
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Big Data"
DOI: 10.1186/s40537-019-0191-6
Abstract: Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking… read more here.
Keywords: churn; big data; model; prediction ... See more keywords
A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection
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DOI: 10.1371/journal.pone.0278095
Abstract: Customer churn is one of the most critical issues faced by the telecommunication industry (TCI). Researchers and analysts leverage customer relationship management (CRM) data through the use of various machine learning models and data transformation… read more here.
Keywords: transformation methods; customer churn; data transformation; prediction ... See more keywords
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
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DOI: 10.3390/fi14030094
Abstract: Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies. This study aimed to develop a churn… read more here.
Keywords: churn prediction; customer churn; telecom customer; churn ... See more keywords