Customer churn prediction in telecom using machine learning in big data platform

Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer to churn. Therefore, finding factors that inc...

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Veröffentlicht in:	Journal of big data Jg. 6; H. 1; S. 1 - 24
Hauptverfasser:	Ahmad, Abdelrahim Kasem, Jafar, Assef, Aljoumaa, Kadan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 20.03.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Artificial intelligence Big Data Business Churn in telecom Classification Communications Engineering Companies Computational Science and Engineering Computer Science Consumers Customer churn prediction Customers Data management Data Mining and Knowledge Discovery Database Management Decision making Decision trees Feature extraction Feature selection Information Storage and Retrieval Machine learning Mathematical Applications in Computer Science Mathematical models Mobile Social Network Analysis Network analysis Networks Operators Performance evaluation Prediction models Predictions Social network analysis Social networks Telecommunications Telecommunications industry Customer churn prediction Feature selection Machine learning Classification Mobile Social Network Analysis Big data Churn in telecom
ISSN:	2196-1115, 2196-1115
Online-Zugang:	Volltext
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