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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1996 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1996 Working Papers
      • View Item
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      Dataset cataloging metadata for machine learning applications and research

      Cunningham, Sally Jo
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      uow-cs-wp-1996-26.pdf
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      Cunningham, S. J. (1996). Dataset cataloging metadata for machine learning applications and research. (Working paper 96/26). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1187
      Abstract
      As the field of machine learning (ML) matures, two types of data archives are developing: collections of benchmark data sets used to test the performance of new algorithms, and data stores to which machine learning/data mining algorithms are applied to create scientific or commercial applications. At present, the catalogs of these archives are ad hoc and not tailored to machine learning analysis. This paper considers the cataloging metadata required to support these two types of repositories, and discusses the organizational support necessary for archive catalog maintenance.
      Date
      1996-11
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      96/26
      Collections
      • 1996 Working Papers [32]
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