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Ensembles of probability estimation trees for customer churn prediction [PDF]
, 2010 Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens +20 more
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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 Customer churn, the termination of customer relationships with a business or service, is a critical metric that profoundly impacts a company's success. Effectively managing churn not only prevents revenue loss but also provides a competitive advantage by boosting customer retention rates.
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On Analyzing Churn Prediction in Mobile Games [PDF]
2021 6th International Conference on Machine Learning Technologies, 2021 8 pages, 10 figures, 2021 6th International Conference on Machine Learning ...
Kihoon Jang, Junwhan Kim, Byunggu Yu
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IEEE Access, 2019 In the telecom sector, a huge volume of data is being generated on a daily basis due to a vast client base. Decision makers and business analysts emphasized that attaining new customers is costlier than retaining the existing ones.
Irfan Ullah +5 more
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Computation, 2021 Until recently, traditional machine learning techniques (TMLTs) such as multilayer perceptrons (MLPs) and support vector machines (SVMs) have been used successfully for churn prediction, but with significant efforts expended on the configuration of the ...
Edvaldo Domingos +2 more
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Intelligent data analysis approaches to churn as a business problem: a survey [PDF]
, 2017 Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing ...
García Gómez, David +2 more
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Churn Prediction for Mobile Prepaid Subscribers
Proceedings of the 6th International Conference on Data Science, Technology and Applications, 2017 Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Can, Zehra, Albey, Erinç
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Customer churn prediction model: a case of the telecommunication market
ECONOMICS, 2022 The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana +3 more
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, 2019 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 to develop means to predict potential customer
Ahmad, Abdelrahim Kasem +2 more
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Improving customer churn prediction by data augmentation using pictorial stimulus-choice data [PDF]
, 2012 The purpose of this paper is to determine the added value of pictorial stimulus-choice data in customer churn prediction. Using Random Forests and 5 times 2 fold cross-validation, this study analyzes how much pictorial stimulus choice data and survey ...
Ballings, Michel +2 more
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