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1. Profit-driven pre-processing in B2B customer churn modeling using fairness techniques. (2025). Bogaert, Matthias ; Janssens, Bram ; Rahman, Shimanto.
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2. A closer look at customer experience with bundle telecommunication services and its impacts on satisfaction and switching intention. (2024). Rodrigues, Ricardo ; Moreira, Antonio C ; Barbosa, Belem ; Ribeiro, Hugo.
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3. Assessing the effectiveness of OTT services, branded apps, and gamified loyalty giveaways on mobile customer churn in the telecom industry: A machine-learning approach. (2024). Cagliyor, Sendi ; Kirgiz, Omer Bugra ; Kiygi-Calli, Meltem ; el Oraiby, Maryam.
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4. A neural network-based predictive decision model for customer retention in the telecommunication sector. (2024). Majhi, Ritanjali ; Thangeda, Rahul ; Kumar, Niraj.
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5. Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach. (2024). Guo, Yihan ; Feng, YI ; Marra, Marianna ; Ignatius, Joshua ; Wang, Dujuan ; Cheng, T. C. E., ; Yin, Yunqiang.
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6. Classifying the Variety of Customers’ Online Engagement for Churn Prediction with a Mixed-Penalty Logistic Regression. (2023). Imovi, Petra P ; Sun, Edward W.
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7. Deep Churn Prediction Method for Telecommunication Industry. (2023). Gaber, Tarek ; Saha, Lewlisa ; Tripathy, Hrudaya Kumar ; El-Gohary, Hatem ; El-Kenawy, El-Sayed M.
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8. Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art. (2023). Bogaert, Matthias ; Delaere, Lex.
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10. A novel deep learning model based on convolutional neural networks for employee churn prediction. (2022). Ozcan, Tuncay ; Ozmen, Ebru Pekel.
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12. A New Churn Prediction Model Based on Deep Insight Features Transformation for Convolution Neural Network Architecture and Stacknet. (2022). Ridouani, Mohammed ; Hassouni, Larbi ; Frambach, Janneke M ; Rabbah, Jalal ; Abouzeid, Enjy ; Agarwal, Anshoo.
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13. Intelligent Prediction of Customer Churn with a Fused Attentional Deep Learning Model. (2022). Liu, Yunjie ; Nedjah, Nadia ; Shengdong, MU ; Jijian, GU.
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14. A social CRM analytic framework for improving customer retention, acquisition, and conversion. (2022). Lamrhari, Soumaya ; Oubrich, Mourad ; el Ghazi, Hamid ; el Faker, Abdellatif.
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15. Implementation of penalized survival models in churn prediction of vehicle insurance. (2022). Zhao, Yulu ; Chen, Yan ; Zhang, Lei ; Xu, Bing.
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16. Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review. (2021). Nayak, Soumyaranjan ; Barsocchi, Paolo ; Saha, Lewlisa ; Tripathy, Hrudaya Kumar ; Bhoi, Akash Kumar.
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17. Case based models of the relationship between consumer resistance to innovation and customer churn. (2021). Sun, Yang.
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18. Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications. (2021). Silipo, Rosaria ; Ordenes, Francisco Villarroel.
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19. Leveraging non-respondent data in customer satisfaction modeling. (2021). Mengesha, Nigussie ; Zihayat, Morteza ; Kargar, Mehdi ; Davoudi, Heidar ; Ayanso, Anteneh.
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20. A multi-period analysis of the integrated item-sharing and crowdshipping problem. (2021). Behrend, Moritz ; Fagerholt, Kjetil ; Andersson, Henrik ; Meisel, Frank.
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21. Classifying variety of customers online engagement for churn prediction with mixed-penalty logistic regression. (2021). Sun, Edward ; Posedel Šimović, Petra ; Vsimovi, Petra Posedel ; Horvatic, Davor.
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