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Mining Astronomical Data

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Database and Expert Systems Applications (DEXA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

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Abstract

Astronomy is among those sciences that, with time and technology, has found itself producing more and more data. Now, dealing with so many data is a major problem, and standard query techniques become insufficient. This paper raises the relevance of data mining techniques in such cases, through a complete example of application to real astronomical data. The approach, the implementation and the results are analysed. The stake of such works is to give modern sciences a new way to use data, while keeping concerned with the fact that the majority of users are non-experts in knowledge engineering.

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© 2001 Springer-Verlag Berlin Heidelberg

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Voisin, B. (2001). Mining Astronomical Data. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_61

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  • DOI: https://doi.org/10.1007/3-540-44759-8_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

  • eBook Packages: Springer Book Archive

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