Results 31 to 40 of about 2,799 (223)
Applied Sciences, 2022 Nowadays, customer churn has been reflected as one of the main concerns in the processes of the telecom sector, as it affects the revenue directly. Telecom companies are looking to design novel methods to identify the potential customer to churn.
Rencheng Liu +7 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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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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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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A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models [PDF]
International Journal of Research in Industrial Engineering, 2013 Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past
H. Abbasimehr, S. Alizadeh
doaj
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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Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
A Customer Profiling Methodology for Churn Prediction [PDF]
, 2008 As markets have become increasingly saturated, companies have acknowledged that their business strategies need to focus on identifying those customers who are most likely to churn. To address this, a method is required that can identify these customers,
Hadden, John
core
Epilepsia, EarlyView.Abstract Objective The development of posttraumatic epilepsy after traumatic brain injury (TBI) is potentially identifiable by measuring biomarkers of epileptogenesis, namely pathological high‐frequency oscillations (pHFOs). pHFOs are promising candidates, but it remains uncertain whether they can be detected early after TBI in clinical settings.
Kseniia Kriukova +48 more
wiley +1 more source