Intelligent Optimal Deep Learning based Customer Churn Prediction Model in Telecom Industry

Ahmed N. Al Masri Taif Khalid Shakir

doi:10.5281/zenodo.5502106

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JOURNAL ARTICLE

Intelligent Optimal Deep Learning based Customer Churn Prediction Model in Telecom Industry

Ahmed N. Al Masri Taif Khalid Shakir

Year: 2021 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.5502106

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Abstract

American Journal of Business and Operations Research (AJBOR) Vol. 4, No. 2, PP. 57-64, 2021 the paper can be accessed here: http://www.americaspg.com/articleslist/1/170/151

Keywords:

Deep learning Computer science Telecommunications Artificial intelligence Business

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.33

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

E-commerce and Technology Innovations

Social Sciences → Business, Management and Accounting → Business and International Management

Intelligent Optimal Deep Learning based Customer Churn Prediction Model in Telecom Industry

Abstract

Metrics

Topics

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