Prima Pagina Gazzetta Tuttosport E Corriere

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A Amin S Anwar A Adnan M Nawaz N Howard J Qadir A Hawalah International conference Beyond databases architectures

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MTDF and genetic algorithms outperform other techniques for addressing class imbalance in customer churn prediction The study

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We focus on a real case of the motor insurance sector We propose four different methods to predict lapsing from a

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The data are provided by a Spanish insurance company and included many variables that are expected to explain customer churn

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In markets with fierce competition and low switching costs customer attrition or churn is a key concern In the past

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This study proposes a churn prediction model that uses classification as well as clustering techniques to identify churn

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Comparing Oversampling Techniques to Handle the Class Imbalance Problem A Customer Churn Prediction Case Study

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This research underscores the significance of employing machine learning techniques to predict customer churn rates and can aid

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Amin A Anwar S Adnan A Nawaz M Howard N Qadir J Hawalah AYA Hussain A 2016 Comparing Oversampling Techniques