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Strategic foresight in times of disruptions, volatilities and risks : methodological advancements and corporate applications
Markmann, Christoph - 2013
Persistent link: https://www.econbiz.de/10010489327
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Systemgestützte Kostenschätzung : eine Controlling-Perspektive
Rechberg, Ulrich von - 1997
Persistent link: https://www.econbiz.de/10000965403
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Data Mining in der Praxis : ein Ansatz zur Nutzung der Potentiale von Data Mining im betrieblichen Umfeld
Küppers, Bertram - 1999
Persistent link: https://www.econbiz.de/10000669846
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Methoden und Verfahren des Data mining
Chamoni, Peter - 1997
Persistent link: https://www.econbiz.de/10000621178
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An architecture modeling framework for probabilistic prediction
Johnson, Pontus; Ullberg, Johan; Buschle, Markus; … - In: Information systems and e-business management : ISeB 12 (2014) 4, pp. 595-622
Persistent link: https://www.econbiz.de/10010437038
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Betriebswirtschaftliche Anwendungsbereiche Konnektionistischer Systeme
Düsing, Roland - 1997
Persistent link: https://www.econbiz.de/10013361102
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Predictive Policing : An Information Design Approach
Ichihashi, Shota - 2022
Citizens may engage in crime, depending on the probability of being searched and their types such as legal earning opportunities. Police observes information about citizens' types and allocates search efforts to catch citizens who commit crimes. I show that the police who has full information...
Persistent link: https://www.econbiz.de/10014076370
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Likelihood Based Inference and Prediction in Spatio-Temporal Panel Count Models for Urban Crimes
Liesenfeld, Roman; Richard, Jean-Francois; Vogler, Jan - 2015
We develop a panel data count model combined with a latent Gaussian spatio-temporal heterogenous state process to analyze monthly severe crimes at the census tract level in Pittsburgh, Pennsylvania. Our data set combines Uniform Crime Reporting data with socio-economic data from the 2000 census....
Persistent link: https://www.econbiz.de/10014135197
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Algorithms, Human Decision-Making and Predictive Policing
Phillips, Peter J.; Pohl, Gabriela - 2021
algorithms and, importantly, the basic structures of decision theory that it embeds. To make a problem amenable to algorithmic … application. We use decision theory, including behavioural economics, to highlight the choices embedded within this problem space … lockstep advancement in awareness and application of decision theory. Such awareness may help to mitigate some of the …
Persistent link: https://www.econbiz.de/10013322251