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Call Churn Prediction with PySpark
2019Different markets over the world are ending up progressively more saturated, with an ever-increasing number of customers swapping their enrolled benefits between contending organizations. Consequently, organizations have understood that they should center their promoting endeavors in client maintenance instead of client procurement.
Mark Sheridan Nonghuloo +4 more
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Predictive Modeling for Customer Churn
Customer churn is a major concern for the banking industry, where retaining existing customers is often more profitable than acquiring new ones. With increasing competition from digital banks and fintech startups, it has become vital for traditional banks to proactively identify customers who are likely to leave.Dr. AS Arunachalam, B Sathya Moorthy
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“Churn Prediction in Telecommunication Industry”
2023 International Conference for Advancement in Technology (ICONAT), 2023Yashraj Bharambe +4 more
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A big data analytics model for customer churn prediction in the retiree segment
International Journal of Information Management, 2019Farid Shirazi
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Applying data mining to telecom churn management
Expert Systems With Applications, 2006David C Yen
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Dynamic behavior based churn prediction in mobile telecom
Expert Systems With Applications, 2020Nada Ghneim
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Customer churn prediction in telecommunication industry using data certainty
Journal of Business Research, 2019Adnan Amin +2 more
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Customer churn prediction in the telecommunication sector using a rough set approach
Neurocomputing, 2017Adnan Amin, Sajid Anwar, Awais Adnan
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