Difference: IvoaKDDguideFuture (1 vs. 2)

Revision 22011-03-19 - NickBall

 
META TOPICPARENT name="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.

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  • The time domain [Markov models, etc.]
  • Graphical Processing Units [CUDA, code types amenable to speedup]
  • Parallel/distributed data mining [Clock speed -> more cores, code has to be rewritten]
  • Visualization [High dimensionality]
  • The VO [Standardized data access]
  • Semantics [e.g. MG's Semantics and Data Mining IVOA talk]
  • Clouds
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  • 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
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  • Visualization of large, complex, and high-dimensional data
 
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KDD-IG members: Please volunteer to write one or more of these sections!
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The future is yet to be written. Volunteers are welcome!
 
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-- NickBall - 05 Sep 2010
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Meanwhile, see, e.g., the reviews Ball & Brunner (2010), Borne (2009), or Pesenson et al. (2010), linked in section 8.
 
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-- NickBall - 19 Mar 2011


 
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Revision 12010-09-05 - NickBall

 
META TOPICPARENT name="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.

  • The time domain [Markov models, etc.]
  • Graphical Processing Units [CUDA, code types amenable to speedup]
  • Parallel/distributed data mining [Clock speed -> more cores, code has to be rewritten]
  • Visualization [High dimensionality]
  • The VO [Standardized data access]
  • Semantics [e.g. MG's Semantics and Data Mining IVOA talk]
  • Clouds


KDD-IG members: Please volunteer to write one or more of these sections!


-- NickBall - 05 Sep 2010


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