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PKDD
2015
Springer

Online Analysis of High-Volume Data Streams in Astroparticle Physics

3 years 3 months ago
Online Analysis of High-Volume Data Streams in Astroparticle Physics
Experiments in high-energy astroparticle physics produce large amounts of data as continuous high-volume streams. Gaining insights from the observed data poses a number of challenges to data analysis at various steps in the analysis chain of the experiments. Machine learning methods have already cleaved their way selectively at some particular stages of the overall data mangling process. In this paper we investigate the deployment of machine learning methods at various stages of the data analysis chain in a gamma-ray astronomy experiment. Aiming at online and real-time performance, we build up on prominent software libraries and discuss the complete cycle of data processing from raw-data capturing to high-level classification using a data-flow based rapid-prototyping environment. In the context of a gamma-ray experiment, we review user requirements in this interdisciplinary setting and demonstrate the applicability of our approach in a real-world setting to provide results from high-...
Christian Bockermann, Kai Brügge, Jens Buss,
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where PKDD
Authors Christian Bockermann, Kai Brügge, Jens Buss, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe
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