From Predictive to Prescriptive Analytics

We combine ideas from machine learning (ML) and operations research and management science (OR/MS) in developing a framework, along with specific methods, for using data to prescribe optimal decisions in OR/MS problems. In a departure from other work on data-driven optimization, we consider data con...

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Veröffentlicht in:	Management science Jg. 66; H. 3; S. 1025 - 1044
Hauptverfasser:	Bertsimas, Dimitris, Kallus, Nathan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Linthicum INFORMS 01.03.2020 Institute for Operations Research and the Management Sciences
Schlagworte:	Big Data Data data-driven decision making Decision making Decisions Distribution (Probability theory) Efficacy Inventory control Leverage Machine learning Management science Measures Optimization Probability Stochastic models stochastic optimization Uncertainty New York
ISSN:	0025-1909, 1526-5501
Online-Zugang:	Volltext
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