Data Mining and Machine Learning in Astronomy

@article{Ball2009DataMA,
  title={Data Mining and Machine Learning in Astronomy},
  author={Nicholas M. Ball and Robert J. Brunner Herzberg Institute of Astrophysics and Victoria and Bc and Canada. and Department of Physics Astronomy and Univ. of Illinois at Urbana-Champaign},
  journal={arXiv: Instrumentation and Methods for Astrophysics},
  year={2009}
}
We review the current state of data mining and machine learning in astronomy. 'Data Mining' can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding the potential to fully exploit the exponentially increasing amount of available data, promising great scientific advance. However, if misused, it can be little more than the black-box application of complex computing algorithms that may give little physical… 

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