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1دورية أكاديميةA proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry
المؤلفون: Shimaa Ouf, Kholoud T. Mahmoud, Manal A. Abdel-Fattah
المصدر: Journal of Big Data, Vol 11, Iss 1, Pp 1-27 (2024)
مصطلحات موضوعية: Telecom industry, Churn prediction, Machine learning, XGBOOST classifier, Hybrid framework, Data preprocessing, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2196-1115Test
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2دورية أكاديمية
المؤلفون: Pahul Preet Singh, Fahim Islam Anik, Rahul Senapati, Arnav Sinha, Nazmus Sakib, Eklas Hossain
المصدر: Data Science and Management, Vol 7, Iss 1, Pp 7-16 (2024)
مصطلحات موضوعية: Bank customer attrition, Churn prediction, Machine learning, XGboost, Random forest, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2666764923000401Test; https://doaj.org/toc/2666-7649Test
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3
المؤلفون: Lince, Miguel Ângelo Nunes
المساهمون: Henriques, Roberto André Pereira, RUN
مصطلحات موضوعية: Casual inference, Price elasticity, Churn prediction, Machine Learning, Motor insurance, Pricing optimization, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, SDG 11 - Sustainable cities and communities, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
وصف الملف: application/pdf
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4دورية أكاديمية
المؤلفون: Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo
المصدر: IEEE Access, Vol 12, Pp 70434-70463 (2024)
مصطلحات موضوعية: Churn prediction, machine learning, artificial intelligence, business decision making, customer defection, marketing analytics, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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5دورية أكاديمية
المصدر: AIMS Mathematics, Vol 9, Iss 2, Pp 2781-2807 (2024)
مصطلحات موضوعية: customer churn prediction, telecommunication industry, dataset balancing, feature selection, ensemble learning, whale optimization algorithm, Mathematics, QA1-939
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2473-6988Test
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6دورية أكاديمية
المؤلفون: João B. G. Brito, Guilherme B. Bucco, Rodrigo Heldt, João L. Becker, Cleo S. Silveira, Fernando B. Luce, Michel J. Anzanello
المصدر: Financial Innovation, Vol 10, Iss 1, Pp 1-29 (2024)
مصطلحات موضوعية: Customer churn prediction, Imbalanced dataset treatment, Feature engineering, RFM, Public finance, K4430-4675, Finance, HG1-9999
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2199-4730Test
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7دورية أكاديمية
المصدر: IEEE Access, Vol 12, Pp 4471-4484 (2024)
مصطلحات موضوعية: Squeeze and excitation, spatial attention, residual block, churn prediction, ChurnNet, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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8دورية أكاديمية
المؤلفون: Nien-Ting Lee, Hau-Chen Lee, Joseph Hsin, Shih-Hau Fang
المصدر: IEEE Open Journal of the Computer Society, Vol 5, Pp 27-38 (2024)
مصطلحات موضوعية: Customer behavior, customer churn prediction, machine learning, buy till you die (BTYD), Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64
وصف الملف: electronic resource
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9دورية أكاديمية
المؤلفون: Saul Beltozar-Clemente, Orlando Iparraguirre-Villanueva, Félix Pucuhuayla-Revatta, Joselyn Zapata-Paulini, Michael Cabanillas-Carbonell
المصدر: Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 1, Pp 100237- (2024)
مصطلحات موضوعية: Deep learning, LSTM, Churn prediction, Customer churn, Telecommunication, Management. Industrial management, HD28-70, Business, HF5001-6182
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2199853124000313Test; https://doaj.org/toc/2199-8531Test
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10دورية أكاديمية
المؤلفون: Fatima E. Usman-Hamza, Abdullateef O. Balogun, Salahdeen K. Nasiru, Luiz Fernando Capretz, Hammed A. Mojeed, Shakirat A. Salihu, Abimbola G. Akintola, Modinat A. Mabayoje, Joseph B. Awotunde
المصدر: Scientific African, Vol 23, Iss , Pp e02054- (2024)
مصطلحات موضوعية: Customer churn prediction (CCP), Class imbalance problem (CIP), Tree-based classifiers, Science
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2468227623005070Test; https://doaj.org/toc/2468-2276Test