Results 31 to 40 of about 17,450 (209)
Churn prediction on huge telecom data using hybrid firefly based classification
Egyptian Informatics Journal, 2017 Churn prediction in telecom has become a major requirement due to the increase in the number of telecom providers. However due to the hugeness, sparsity and imbalanced nature of the data, churn prediction in telecom has always been a complex task.
Ammar A.Q. Ahmed, D. Maheswari
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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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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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, 2015 Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries.
Blumenstock, Joshua +3 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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, 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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Ensemble of Example-Dependent Cost-Sensitive Decision Trees [PDF]
, 2015 Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes.
Aouada, Djamila +2 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 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
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