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24-10-2017 | Technical Contribution | Issue 1/2018 Open Access

KI - Künstliche Intelligenz 1/2018

Big data algorithms beyond machine learning

Journal:
KI - Künstliche Intelligenz > Issue 1/2018
Author:
Matthias Mnich
Important notes
M. M. was supported by ERC Starting Grant 306465 (BeyondWorstCase).

Abstract

The availability of big data sets in research, industry and society in general has opened up many possibilities of how to use this data. In many applications, however, it is not the data itself that is of interest but rather we want to answer some question about it. These answers may sometimes be phrased as solutions to an optimization problem. We survey some algorithmic methods that optimize over large-scale data sets, beyond the realm of machine learning.

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KI - Künstliche Intelligenz

The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society - with constributions from troughout the field of artificial intelligence.

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