Szeląg, Marcin; Słowiński, Roman Explaining and predicting customer churn by monotonic rules induced from ordinal data. (English) Zbl 07881397 Eur. J. Oper. Res. 317, No. 2, 414-424 (2024). MSC: 90Bxx × Cite Format Result Cite Review PDF Full Text: DOI
Vanacore, Amalia; Pellegrino, Maria Sole; Ciardiello, Armando Fair evaluation of classifier predictive performance based on binary confusion matrix. (English) Zbl 07847881 Comput. Stat. 39, No. 1, 363-383 (2024). MSC: 62-08 × Cite Format Result Cite Review PDF Full Text: DOI OA License
Perišić, Ana; Pahor, Marko Clustering mixed-type player behavior data for churn prediction in mobile games. (English) Zbl 07700325 CEJOR, Cent. Eur. J. Oper. Res. 31, No. 1, 165-190 (2023). MSC: 90Bxx × Cite Format Result Cite Review PDF Full Text: DOI
Gattermann-Itschert, Theresa; Thonemann, Ulrich W. How training on multiple time slices improves performance in churn prediction. (English) Zbl 1487.90409 Eur. J. Oper. Res. 295, No. 2, 664-674 (2021). MSC: 90B60 68T05 × Cite Format Result Cite Review PDF Full Text: DOI
Höppner, Sebastiaan; Stripling, Eugen; Baesens, Bart; vanden Broucke, Seppe; Verdonck, Tim Profit driven decision trees for churn prediction. (English) Zbl 1441.62739 Eur. J. Oper. Res. 284, No. 3, 920-933 (2020). MSC: 62P20 62H30 68T05 × Cite Format Result Cite Review PDF Full Text: DOI arXiv Link
Maldonado, Sebastián; López, Julio; Vairetti, Carla Profit-based churn prediction based on minimax probability machines. (English) Zbl 1441.62806 Eur. J. Oper. Res. 284, No. 1, 273-284 (2020). MSC: 62P20 62H30 68T05 90C30 × Cite Format Result Cite Review PDF Full Text: DOI
Kvamme, Håvard; Borgan, Ørnulf; Scheel, Ida Time-to-event prediction with neural networks and Cox regression. (English) Zbl 1440.62354 J. Mach. Learn. Res. 20, Paper No. 129, 30 p. (2019). MSC: 62N02 62M20 62M45 62J05 60G55 × Cite Format Result Cite Review PDF Full Text: arXiv Link
de la Llave, Miguel Ángel; López, Fernando A.; Angulo, Ana The impact of geographical factors on churn prediction: an application to an insurance company in Madrid’s urban area. (English) Zbl 1411.91276 Scand. Actuar. J. 2019, No. 3, 188-203 (2019). MSC: 91B30 91D20 91B42 × Cite Format Result Cite Review PDF Full Text: DOI Link
de Caigny, Arno; Coussement, Kristof; de Bock, Koen W. A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. (English) Zbl 1388.90061 Eur. J. Oper. Res. 269, No. 2, 760-772 (2018). MSC: 90B60 × Cite Format Result Cite Review PDF Full Text: DOI
Ahmed, Mehreen; Afzal, Hammad; Majeed, Awais; Khan, Behram A survey of evolution in predictive models and impacting factors in customer churn. (English) Zbl 1373.62030 Adv. Data Sci. Adapt. Anal. 9, No. 3, Article ID 1750007, 35 p. (2017). MSC: 62B10 68T05 62P30 × Cite Format Result Cite Review PDF Full Text: DOI
Droftina, Uroš; Štular, Mitja; Košir, Andrej A diffusion model for churn prediction based on sociometric theory. (English) Zbl 1414.91304 Adv. Data Anal. Classif., ADAC 9, No. 3, 341-365 (2015). MSC: 91D30 62-07 62P30 05C85 × Cite Format Result Cite Review PDF Full Text: DOI OA License
Chen, Zhen-Yu; Fan, Zhi-Ping; Sun, Minghe A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data. (English) Zbl 1292.68131 Eur. J. Oper. Res. 223, No. 2, 461-472 (2012). MSC: 68T05 62H30 90C90 × Cite Format Result Cite Review PDF Full Text: DOI Link
Glady, Nicolas; Baesens, Bart; Croux, Christophe Modeling churn using customer lifetime value. (English) Zbl 1157.91396 Eur. J. Oper. Res. 197, No. 1, 402-411 (2009). MSC: 91B42 91B82 × Cite Format Result Cite Review PDF Full Text: DOI Link
Hadden, John; Tiwari, Ashutosh; Roy, Rajkumar; Ruta, Dymitr Computer assisted customer churn management: state-of-the-art and future trends. (English) Zbl 1185.90119 Comput. Oper. Res. 34, No. 10, 2902-2917 (2007). MSC: 90B50 × Cite Format Result Cite Review PDF Full Text: DOI