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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
exaly
Customer churn prediction in telecommunication industry using data certainty
Journal of Business Research, 2019Adnan Amin +2 more
exaly
Handling class imbalance in customer churn prediction
Expert Systems With Applications, 2009Dirk Van den Poel
exaly