Machine learning applied to fourteen agricultural datasets

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dc.contributor.authorThomson, Kirsten
dc.contributor.authorMcQueen, Robert J.
dc.date.accessioned2008-10-28T22:58:10Z
dc.date.available2008-10-28T22:58:10Z
dc.date.issued1996-09
dc.description.abstractThis document reports on an investigation conducted between November, 1995 and March, 1996 into the use of machine learning on 14 sets of data supplied by agricultural researchers in New Zealand. Our purpose here is to collect together short reports on trials with these datasets using the WEKA machine learning workbench, so that some understanding of the applicability and potential application of machine learning to similar datasets may result.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.citationThomson, K. & McQueen, R. J. (1996). Machine learning applied to fourteen agricultural datasets. (Working paper 96/18). Hamilton, New Zealand: University of Waikato, Department of Computer Science.en_US
dc.identifier.issn1170-487X
dc.identifier.urihttps://hdl.handle.net/10289/1171
dc.language.isoen
dc.relation.ispartofseriesComputer Science Working Papers
dc.subjectcomputer scienceen_US
dc.titleMachine learning applied to fourteen agricultural datasetsen_US
dc.typeWorking Paperen_US
uow.relation.series96/18
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