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dc.contributor.authorDeWar, Rhys
dc.contributor.authorMcQueen, Robert J.
dc.date.accessioned2008-10-20T21:57:56Z
dc.date.available2008-10-20T21:57:56Z
dc.date.issued1995-01
dc.identifier.citationDeWar, R. & McQueen, R. J. (1995). Analysis of cow culling with a machine learning workbench. (Working paper 95/1). Hamilton, New Zealand: University of Waikato, Department of Computer Science.en_US
dc.identifier.issn1170-487X
dc.identifier.urihttps://hdl.handle.net/10289/1079
dc.description.abstractThis report discusses the use of machine learning tools to examine datasets extracted from a database of dairy cows. The objective of the study was to investigate whether these machine learning tools could extract meaningful rules from the datasets, and in the process, understand more about how these tools manipulate data.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Waikato, Department of Computer Scienceen_US
dc.relation.ispartofseriesComputer Science Working Papers
dc.subjectcomputer scienceen_US
dc.titleAnalysis of cow culling with a machine learning workbenchen_US
dc.typeWorking Paperen_US
uow.relation.series95/1


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