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Data-driven decision making for modelling covid-19 and its implications : a cross-country study
Sariyer, Gorkem; Mangla, Sachin Kumar; Kazancoglu, Yigit; … - In: Technological forecasting & social change : an … 197 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014468846
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Enhancing decision-making of IT demand management with process mining
Novak, Christian; Pfahlsberger, Lukas; Bala, Saimir; … - In: Business process management journal 29 (2023) 8, pp. 230-259
Persistent link: https://www.econbiz.de/10014496665
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Data-ism : the revolution transforming decision making, consumer behavior, and almost everything else
Lohr, Steve - 2015 - First edition
Persistent link: https://www.econbiz.de/10013467641
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Using Data Mining Techniques to explore Shopping Addiction and Emotion Based Decision Making in Consumers
Togias, Panagiotis; Gkintoni, Evgenia; Antonopoulou, Hera; … - 2023
", "Balanced Emotional Empathy Scale" and used for the application of data mining methods. Specifically, for the collection of data …
Persistent link: https://www.econbiz.de/10014264060
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Data-driven approach to predict the sequence of component failures : a framework and a case study on a process industry
Antomarioni, Sara; Ciarapica, Filippo Emanuele; … - In: International journal of quality & reliability management 40 (2023) 3, pp. 752-776
Persistent link: https://www.econbiz.de/10014227483
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Data mining for design and marketing
Ohsawa, Yukio - 2009
Persistent link: https://www.econbiz.de/10004930212
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Business intelligence : data mining and optimization for decision making
Vercellis, Carlo - 2009
Persistent link: https://www.econbiz.de/10004931763
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A unified framework for bayesian and non-Bayesian decision making and inference
Amarante, Massimiliano - In: Mathematics of operations research 47 (2022) 4, pp. 2721-2742
Persistent link: https://www.econbiz.de/10014311381
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Decision-making under uncertainty : an applied statistics approach
Chacko, George Kuttickal - 1991
Persistent link: https://www.econbiz.de/10000817424