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---+ [[IvoaKDDguide][IVOA KDD-IG: A user guide for Data Mining in Astronomy]]

---++ 6: Present and future directions

The combination of an abundance of available data mining algorithms, advancing technology, large amounts of new astronomical data continuously opening up new regions of parameter space, and the consequent large number of newly addressable science questions, means that several interesting new directions for data mining in astronomy are opening up in the near-term future.

   * Cloud computing
   * Graphical Processing Units
   * Parallel and distributed data mining
   * Petascale and exascale computing
   * Real-time processing and the time domain
   * Semantics
   * The Virtual Observatory
   * Visualization of large, complex, and high-dimensional data

<br>

%RED% *The future is yet to be written. Volunteers are welcome!* %ENDCOLOR%

<br>

Meanwhile, see, e.g., the reviews Ball & Brunner (2010), Borne (2009), or Pesenson et al. (2010), linked in section 8.

<br>

-- IVOA.NickBall - 19 Mar 2011

<br>

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Topic revision: r2 - 2011-03-19 - NickBall

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