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
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3349950
Abstract: In the Telecommunication Industry (TCI) customer churn is a significant issue because the revenue of the service provider is highly dependent on the retention of existing customers. In this competitive market, it is essential for… read more here.
Keywords: telecommunication industry; churn prediction; churnnet; customer churn ... See more keywords
A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
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DOI: 10.1109/access.2024.3402092
Abstract: Due to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer base and sustain… read more here.
Keywords: churn prediction; customer churn; customer; machine learning ... 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
Predicting customer churn in telecommunication sector using Naïve Bayes algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v35.i3.pp1610-1617
Abstract: The telecom sector creates huge amounts of information every day as a result of its large customer base. Business professionals and decision-makers emphasized that maintaining existing clients is less expensive than recruiting new ones. Business… read more here.
Keywords: telecommunication sector; sector; churn telecommunication; 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
CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction
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DOI: 10.1186/s40537-024-00982-x
Abstract: Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes. The prediction task of customer churn becomes… read more here.
Keywords: customer churn; ctgan enn; class;
Using topological data analysis and machine learning to predict customer churn
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DOI: 10.1186/s40537-024-01020-6
Abstract: Customer churn is a common problem faced by many industries, including telecommunication industries. This has resulted in the development of advanced techniques for the prediction and prevention of customer churn. The availability of stored customer… read more here.
Keywords: churn; analysis; customer churn; customer ... See more keywords