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New insights into churn prediction in the telecommunication sector : a profit driven data mining approach
Verbeke, Wouter; Dejaeger, Karel; Martens, David; Heo, … - In: European journal of operational research : EJOR 218 (2012) 1, pp. 211-229
Persistent link: https://www.econbiz.de/10009501046
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Explainable AI for operational research : a defining framework, methods, applications, and a research agenda
De Bock, Koen W.; Coussement, Kristof; Caigny, Arno de; … - In: European journal of operational research : EJOR 317 (2024) 2, pp. 249-272
Persistent link: https://www.econbiz.de/10014635783
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A model-agnostic and data-independent tabu search algorithm to generate counterfactuals for tabular, image, and text data
Mazzine Barbosa de Oliveira, Raphael; Sörensen, Kenneth; … - In: European journal of operational research : EJOR 317 (2024) 2, pp. 286-302
Persistent link: https://www.econbiz.de/10014635789
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Comprehensible credit scoring models using rule extraction from support vector machines
Martens, David; Baesens, Bart; Van Gestel, Tony; … - In: European journal of operational research : EJOR 183 (2007) 3, pp. 1466-1476
Persistent link: https://www.econbiz.de/10007753022
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New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
Verbeke, Wouter; Dejaeger, Karel; Martens, David; Hur, Joon - In: European journal of operational research : EJOR 218 (2012) 1, pp. 211-230
Persistent link: https://www.econbiz.de/10009818523