Machine Learning and Data Analysis in Astroinformatics

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

Machine Learning and Data Analysis in Astroinformatics

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

Intelligente Systemen

Onderzoeksoutput › Academic › peer review

3 Citaten (Scopus)

191 Downloads (Pure)

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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-2	English
Titel	ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Redacteuren	Michel Verleysen
Uitgeverij	Ciaco - i6doc.com
Pagina's	307-314
Aantal pagina's	8
Volume	26
ISBN van elektronische versie	978-287-587-048-3
ISBN van geprinte versie	978-287-587-047-6
Status	Published - apr.-2018
Evenement	Special Session at ESANN 2018: Machine Learning and Data Analysis in Astroinformatics - Brugge, Belgium Duur: 25-apr.-2018 → 27-apr.-2018 https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#astroinformatics

Conference

Conference	Special Session at ESANN 2018
Land/Regio	Belgium
Stad	Brugge
Periode	25/04/2018 → 27/04/2018
Internet adres	https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#astroinformatics

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Machine Learning and Data Analysis in Astroinformatics
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Permanente koppeling

European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning
Michael Biehl (Attendee), Aleke Nolte (Attendee), Kerstin Bunte (Attendee) & Mohammad Mohammadi (Attendee)
25-apr.-2018 → 27-apr.-2018
Activiteit: Attending an event › Academic

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@inproceedings{e9074f1ee29940ceab277f05b6594b43,

title = "Machine Learning and Data Analysis in Astroinformatics",

abstract = "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.",

author = "M. Biehl and K Bunte and G. Longo and P. Tino",

year = "2018",

month = apr,

language = "English",

isbn = "978-287-587-047-6",

volume = "26",

pages = "307--314",

editor = "Michel Verleysen",

booktitle = "ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

publisher = "Ciaco - i6doc.com",

note = "Special Session at ESANN 2018 : Machine Learning and Data Analysis in Astroinformatics ; Conference date: 25-04-2018 Through 27-04-2018",

url = "https://www.elen.ucl.ac.be/esann/index.php?pg=specsess#astroinformatics",

}

TY - GEN

T1 - Machine Learning and Data Analysis in Astroinformatics

AU - Biehl, M.

AU - Bunte, K

AU - Longo, G.

AU - Tino, P.

PY - 2018/4

Y1 - 2018/4

N2 - 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.

AB - 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.

M3 - Conference contribution

SN - 978-287-587-047-6

VL - 26

SP - 307

EP - 314

BT - ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

A2 - Verleysen, Michel

PB - Ciaco - i6doc.com

T2 - Special Session at ESANN 2018

Y2 - 25 April 2018 through 27 April 2018

ER -

Machine Learning and Data Analysis in Astroinformatics

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Conference

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Activiteiten

European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning

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