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Chang et al., 2024 - Google Patents

Prediction of customer churn behavior in the telecommunication industry using machine learning models

Chang et al., 2024

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Document ID
16302658254807225287
Author
Chang V
Hall K
Xu Q
Amao F
Ganatra M
Benson V
Publication year
Publication venue
Algorithms

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Snippet

Customer churn is a significant concern, and the telecommunications industry has the largest annual churn rate of any major industry at over 30%. This study examines the use of ensemble learning models to analyze and forecast customer churn in the …
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Classifications

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    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06Q50/22Health care, e.g. hospitals; Social work
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
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