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Data analytics process : an application case on predicting student attrition
Delen, Dursun - In: Analytics and knowledge management, (pp. 31-65). 2018
Persistent link: https://www.econbiz.de/10011888423
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A comparative analysis of data mining methods in predicting NCAA bowl outcomes
Delen, Dursun; Cogdell, Douglas; Kasap, Nihat - In: International journal of forecasting 28 (2012) 2, pp. 543-552
Persistent link: https://www.econbiz.de/10009582553
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A novel diffusion-based model for estimating cases, and fatalities in epidemics : the case of COVID-19
Eryarsoy, Enes; Delen, Dursun; Davazdahemami, Behrooz; … - In: Journal of business research : JBR 124 (2021), pp. 163-178
Persistent link: https://www.econbiz.de/10012493848
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The analytics paradigm in business research
Delen, Dursun; Zolbanin, Hamed M. - In: Journal of business research : JBR 90 (2018), pp. 186-195
Persistent link: https://www.econbiz.de/10011882016
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Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition
Delen, Dursun; Topuz, Kazim; Eryarsoy, Enes - In: European journal of operational research : EJOR 281 (2020) 3, pp. 575-587
Persistent link: https://www.econbiz.de/10012157394
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Predicting and explaining pig iron production on charcoal blast furnaces : a machine learning approach
Lima, Marcio Salles Melo; Eryarsoy, Enes; Delen, Dursun - In: INFORMS journal on applied analytics 51 (2021) 3, pp. 213-235
Persistent link: https://www.econbiz.de/10012596350
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A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends
Dag, Ali; Dag, Asli Z.; Asilkalkan, Abdullah; Simsek, Serhat - In: Journal of business research : JBR 156 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10013534241