Predicting customer abandonment in recurrent neural networks using short-term memory

Author:

Beltozar-Clemente Saul,Iparraguirre-Villanueva Orlando,Pucuhuayla-Revatta Félix,Zapata-Paulini Joselyn,Cabanillas-Carbonell Michael

Publisher

Elsevier BV

Reference47 articles.

1. A hybrid churn prediction model in mobile telecommunication industry.” Accessed: Aug. 21, 2023. [Online]. Available: http://ijeeee.org/Papers/302-A0064.pdf.

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3. A review and analysis of churn prediction methods for customer retention in telecom industries;Ahmed;2017 4th Int. Conf. Adv. Comput. Commun. Syst., ICACCS,2017

4. Optimizing the Parameters of Long Short-Term Memory Networks Using the Bees Algorithm;Alamri;Appl. Sci.,2023

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1. RNN-LSTM: From applications to modeling techniques and beyond—Systematic review;Journal of King Saud University - Computer and Information Sciences;2024-06

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