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| Inferring Models for Subsystems Based on Real World Traces | Rutger Kerkhoff, Aleš Tavcar, Boštjan Kaluza
Jozef Stefan Institute, Jamova cesta 39 1000 Ljubljana, Slovenija | | Abstract: Creating simulations for smart cities is a complex and time consuming task. In this paper we show that using
traditional Bayesian networks and real world data traces it is possible to infer models that can simulate the original domain.
The created model can provide great insight into the actual subsystems that are considered. We show that given a set of
observed values we can successfully use the created model to simulate data and show trends present in the original system. | | Keywords: Bayesian Networks, Real-life simulation, Smart Cities, System Models Inferring Models for Subsystems Based on Real World Traces |
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