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Data Science meets Optimisation Streams 2017
Call for Abstracts
Stream on Data Science meets Optimisation
Quebec city, Quebec, Canada (July 17-21, 2017)
Scope:
The interaction of data science (DS) and optimisation (O) is the central theme of the working group (DSO). DSO originates from the observation that, on the one hand, real time optimisation algorithms are tightly linked to the data-context, and on the other hand, many data-analytic algorithms rely on optimisation algorithms, while many modern optimisation algorithms have some form of machine learning embedded. The first observation has a.o. led to developments in automated algorithm tuning, configuration and construction to adapt or even create algorithms from a historical body of data. The second observation is cause to development of similar ideas in different contexts but without much interaction. It is the aim of the working group to bring the two domains closer to each to better contribute to the aims of EURO, the European Organisation for Operations Research.
Co-located with
21st conference of international federation of operations research societies (IFORS 2017)
Quebec city, Quebec, Canada (July 17-21, 2017)