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Massive Data Sets Proceedings of a Workshop (1996) / Chapter Skim
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Opening Remarks
Pages 1-2

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
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From page 1...
... We are hoping that we can draw on their talents to help us understand some of the fundamental issues in scaling statistical methods to massive data sets. We are particularly happy to have so many people here who have had genuine, real-world experience Winking about how to deal with massive data sets.
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From page 2...
... I would like to get a deeper understanding of some of the fundamental issues and the priorities for research. I am hoping-and this is something that CATS generally is particularly interested in-for momentum that might serve as a catalyst for future research in this area.
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Key Terms

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  • scaling statistical
  • applications space
  • challenges posed
  • initial unstructured
  • spotlight critical

  • various corners
  • cross section
  • statistical community
  • unstructured exploration
  • closing session

  • people actually
  • data sets
  • graduate students
  • addressing massive
  • data set

  • statistical methods
  • actually doing
  • little bit
  • attendance list
  • existing ideas


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