Using topological data analysis and machine learning to predict customer churn

Using topological data analysis and machine learning to predict customer churn

Abstract Customer churn is a common problem faced by many industries, including telecommunication industries. This has resulted in the development of advanced techniques for the prediction and prevention of customer churn. The availability of stored customer data in the form of big data, together wi...

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Bibliographic Details
Main Authors: Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Journal of Big Data
Subjects:
Customer churn
k-nearest neighbour
Support vector machine
Extreme gradient boosting
Hyperparameter tuning
Topological data analysis
Online Access:https://doi.org/10.1186/s40537-024-01020-6
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https://doi.org/10.1186/s40537-024-01020-6

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