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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM28757
Volume:
8 |
2 |
Feb 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Telecommunication Sector has emerged as one of the world’s fastest-growing industries, prioritizing customer satisfaction for business success. With a global reach, consumers have abundant service options, with pricing, flexibility, and customizability influencing their choices. Telecom companies strive to meet these demands through policies and services to attract and retain customers. However, customer churn remains a significant challenge, prompting telecom companies to monitor customer behaviors to predict subscription terminations. Churn prediction, facilitated by various algorithms, is crucial for organizational success. Therefore, there is a growing need to forecast potential churners to implement retention measures and maximize company revenue. .
KEYWORDS
Publication Date
12/31/45343
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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