Publication Abstracts

Way et al. 2012

Way, M.J., J.D. Scargle, K. Ali, and A.N. Srivastava (Eds.), 2012: Advances in Machine Learning and Data Mining for Astronomy. Data Mining and Knowledge Discovery Series. Chapman and Hall/CRC.

Publisher's description: This book provides a comprehensive overview of various data mining tools and techniques that are increasingly being used by researchers in the international astronomy community. It explores this new problem domain, discussing how it could lead to the development of entirely new algorithms. Leading contributors introduce data mining methods and then describe how the methods can be implemented into astronomy applications. The last section of the book discusses the Redshift Prediction Competition, which is an astronomy competition in the style of the Netflix Prize.

  • ISBN 143984173X, 9781439841730.

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BibTeX Citation

@misc{wa01400w,
  editor={Way, M. J. and Scargle, J. D. and Ali, K. and Srivastava, A. N.},
  title={Advances in Machine Learning and Data Mining for Astronomy},
  year={2012},
  publisher={Chapman and Hall/CRC},
  series={Data Mining and Knowledge Discovery Series},
  isbn={143984173X, 9781439841730}
}

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RIS Citation

TY  - EDBOOK
ID  - wa01400w
ED  - Way, M. J.
ED  - Scargle, J. D.
ED  - Ali, K.
ED  - Srivastava, A. N.
PY  - 2012
BT  - Advances in Machine Learning and Data Mining for Astronomy
T3  - Data Mining and Knowledge Discovery Series
SN  - 143984173X, 9781439841730
PB  - Chapman and Hall/CRC
ER  -

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