Machine Learning and Data Analysis in Astroinformatics

M. Biehl, K Bunte, G. Longo, P. Tino

OnderzoeksoutputAcademicpeer review

3 Citaten (Scopus)
191 Downloads (Pure)


Astroinformatics is a new discipline at the cross-road of astronomy, advanced statistics and computer science. With next generation sky surveys, space missions and modern instrumentation astronomy will enter the Petascale regime raising the demand for advanced computer science techniques with hard- and software solutions for data management, analysis, efficient automation and knowledge discovery. This tutorial reviews important developments in astroinformatics over the past years and discusses some relevant research questions and concrete problems. The contribution ends with a short review of the special session papers in these proceedings, as well as perspectives and challenges for the near future.
Originele taal-2English
TitelESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
RedacteurenMichel Verleysen
UitgeverijCiaco -
Aantal pagina's8
ISBN van elektronische versie978-287-587-048-3
ISBN van geprinte versie978-287-587-047-6
StatusPublished - apr.-2018
EvenementSpecial Session at ESANN 2018: Machine Learning and Data Analysis in Astroinformatics - Brugge, Belgium
Duur: 25-apr.-201827-apr.-2018


ConferenceSpecial Session at ESANN 2018
Internet adres

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