IVOA KDD-IG: A user guide for Data Mining in Astronomy6: Present and future directionsThe 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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> > | Several reviews also discuss future directions, including the topics below in more detail, e.g., Ball & Brunner (2010), Borne (2009), or Pesenson et al. (2010), all linked in section 8 of the guide. This section aims to be fairly generic, so detailed lists of references are avoided. | |||||||
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> > | [To do] | |||||||
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< < | The future is yet to be written. Volunteers are welcome! | |||||||
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> > | Cloud computing | |||||||
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< < | Meanwhile, see, e.g., the reviews Ball & Brunner (2010), Borne (2009), or Pesenson et al. (2010), linked in section 8. | |||||||
> > | Graphical Processing Units, and other Novel Hardware | |||||||
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> > | Parallel and distributed data miningPetascale and exascale computingReal-time processing and the time domainSemanticsThe Virtual ObservatoryVisualization of large, complex, and high-dimensional data | |||||||
-- NickBall - 19 Mar 2011 | ||||||||
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> > | -- NickBall - 23 Sep 2011 | |||||||
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