University of Hertfordshire

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Customer Churn Prediction in Telecom Sector: A Survey and way a head

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Customer Churn Prediction in Telecom Sector: A Survey and way a head. / AlShourbaji, Ibrahim; Helian, Na; Sun, Yi; Alhameed, Mohammed.

In: JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, Vol. 10, No. 1, 01.01.2021, p. 388-399.

Research output: Contribution to journalArticlepeer-review

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@article{e53a202b4e564fdf9c6d8bc76f55a331,
title = "Customer Churn Prediction in Telecom Sector: A Survey and way a head",
abstract = "The telecommunication (telecom)industry is a highly technological domain has rapidly developed over the previous decades as a result of the commercial success in mobile communication and the internet. Due to the strong competition in the telecom industry market, companies use a business strategy to better understand their customers{\textquoteright} needs and measure their satisfaction. This helps telecom companies to improve their retention power and reduces the probability to churn. Knowing the reasons behind customer churn and the use of Machine Learning (ML) approaches for analyzing customers' information can be of great value for churn management. This paper aims to study the importance of Customer Churn Prediction (CCP) and recent research in the field of CCP. Challenges and open issues that need further research and development to CCP in the telecom sector are explored",
keywords = "Customer churn, prediction, machine learning,, churn management, telecom",
author = "Ibrahim AlShourbaji and Na Helian and Yi Sun and Mohammed Alhameed",
note = "{\textcopyright} 2021 International Journal of Scientific & Technology Research. This work is licensed under a Creative Commons Attribution 4.0 International License. ",
year = "2021",
month = jan,
day = "1",
language = "English",
volume = "10",
pages = "388--399",
journal = "JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH",
issn = "2277-8616",
publisher = "International Journal of Scientific and Technology Research",
number = "1",

}

RIS

TY - JOUR

T1 - Customer Churn Prediction in Telecom Sector: A Survey and way a head

AU - AlShourbaji, Ibrahim

AU - Helian, Na

AU - Sun, Yi

AU - Alhameed, Mohammed

N1 - © 2021 International Journal of Scientific & Technology Research. This work is licensed under a Creative Commons Attribution 4.0 International License.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - The telecommunication (telecom)industry is a highly technological domain has rapidly developed over the previous decades as a result of the commercial success in mobile communication and the internet. Due to the strong competition in the telecom industry market, companies use a business strategy to better understand their customers’ needs and measure their satisfaction. This helps telecom companies to improve their retention power and reduces the probability to churn. Knowing the reasons behind customer churn and the use of Machine Learning (ML) approaches for analyzing customers' information can be of great value for churn management. This paper aims to study the importance of Customer Churn Prediction (CCP) and recent research in the field of CCP. Challenges and open issues that need further research and development to CCP in the telecom sector are explored

AB - The telecommunication (telecom)industry is a highly technological domain has rapidly developed over the previous decades as a result of the commercial success in mobile communication and the internet. Due to the strong competition in the telecom industry market, companies use a business strategy to better understand their customers’ needs and measure their satisfaction. This helps telecom companies to improve their retention power and reduces the probability to churn. Knowing the reasons behind customer churn and the use of Machine Learning (ML) approaches for analyzing customers' information can be of great value for churn management. This paper aims to study the importance of Customer Churn Prediction (CCP) and recent research in the field of CCP. Challenges and open issues that need further research and development to CCP in the telecom sector are explored

KW - Customer churn

KW - prediction

KW - machine learning,

KW - churn management

KW - telecom

M3 - Article

VL - 10

SP - 388

EP - 399

JO - JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH

JF - JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH

SN - 2277-8616

IS - 1

ER -