Large-scale data mining pilot project in human genome

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This whitepaper briefly describes a new, aggressive effort in large- scale data Livermore National Labs. The implications of `large- scale` will be clarified Section. In the short term, this effort will focus on several @ssion-critical questions of Genome project. We will adapt current data mining techniques to the Genome domain, to quantify the accuracy of inference results, and lay the groundwork for a more extensive effort in large-scale data mining. A major aspect of the approach is that we will be fully-staffed data warehousing effort in the human Genome area. The long term goal is strong applications- oriented research program … continued below

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22 p.; Other: FDE: PDF; PL:

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Musick, R.; Fidelis, R. & Slezak, T. May 1, 1997.

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Description

This whitepaper briefly describes a new, aggressive effort in large- scale data Livermore National Labs. The implications of `large- scale` will be clarified Section. In the short term, this effort will focus on several @ssion-critical questions of Genome project. We will adapt current data mining techniques to the Genome domain, to quantify the accuracy of inference results, and lay the groundwork for a more extensive effort in large-scale data mining. A major aspect of the approach is that we will be fully-staffed data warehousing effort in the human Genome area. The long term goal is strong applications- oriented research program in large-@e data mining. The tools, skill set gained will be directly applicable to a wide spectrum of tasks involving a for large spatial and multidimensional data. This includes applications in ensuring non-proliferation, stockpile stewardship, enabling Global Ecology (Materials Database Industrial Ecology), advancing the Biosciences (Human Genome Project), and supporting data for others (Battlefield Management, Health Care).

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22 p.; Other: FDE: PDF; PL:

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OSTI as DE98051372

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  • Workshop on research and development opportunities in Federal Information Systems, Arlington, VA (United States), 13-14 May 1997

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  • Other: DE98051372
  • Report No.: UCRL-JC--127338
  • Report No.: CONF-9705227--
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 647050
  • Archival Resource Key: ark:/67531/metadc707559

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Office of Scientific & Technical Information Technical Reports

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  • May 1, 1997

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  • Sept. 12, 2015, 6:31 a.m.

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  • Feb. 17, 2016, 1:01 p.m.

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Musick, R.; Fidelis, R. & Slezak, T. Large-scale data mining pilot project in human genome, article, May 1, 1997; California. (https://digital.library.unt.edu/ark:/67531/metadc707559/: accessed July 17, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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