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dc.contributor.authorDe War, Rhys
dc.contributor.authorNeal, Donna Liane
dc.date.accessioned2008-10-23T02:06:28Z
dc.date.available2008-10-23T02:06:28Z
dc.date.issued1994-07
dc.identifier.citationDe 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.en_US
dc.identifier.issn1170-487X
dc.identifier.urihttps://hdl.handle.net/10289/1141
dc.description.abstractThis 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.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesComputer Science Working Papers
dc.subjectcomputer scienceen_US
dc.titleWEKA machine learning project: cow cullingen_US
dc.typeWorking Paperen_US
uow.relation.series94/12


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