Mining Astronomical Data

  • Authors:
  • Bruno Voisin

  • Affiliations:
  • -

  • Venue:
  • DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

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.