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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1994 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1994 Working Papers
      • View Item
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      WEKA machine learning project: cow culling

      De War, Rhys; Neal, Donna Liane
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      De War, R. & Neal, D.L. (1994). WEKA machine learning project: cow culling. (Working paper 94/12). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1141
      Abstract
      This report describes an investigation into the application of machine learning tools in the area of agricultural database information. The Weka workbench is a set of machine learning software tools with a common data input and operation interface which has been developed by a research team at the University of Waikato, Department of Computer Science. An extract of a database containing information on dairy cows was processed by various tools in the Weka workbench over a three month period in early 1994.
      Date
      1994-07
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      94/12
      Collections
      • 1994 Working Papers [18]
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