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dc.contributor.authorSmith, Tony C.en_NZ
dc.contributor.authorFrank, Eibeen_NZ
dc.date.accessioned2019-11-20T01:31:05Z
dc.date.available2016en_NZ
dc.date.available2019-11-20T01:31:05Z
dc.date.issued2016en_NZ
dc.identifier.citationSmith, T. C., & Frank, E. (2016). Introducing machine learning concepts with WEKA. (Vol. 1418, pp. 353–378). New York, NY, USA. https://doi.org/10.1007/978-1-4939-3578-9_17en
dc.identifier.urihttps://hdl.handle.net/10289/13170
dc.description.abstractThis chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.rights© Springer Science+Business Media New York 2016.This is the author's accepted version. The final publication is available at Springer via dx.doi.org/10.1007/978-1-4939-3578-9_17
dc.subjectBioinformaticsen_NZ
dc.subjectData miningen_NZ
dc.subjectMachine learningen_NZ
dc.subjectTutorialen_NZ
dc.subjectWEKAen_NZ
dc.subjectAlgorithmsen_NZ
dc.subjectComputational Biologyen_NZ
dc.subjectData Miningen_NZ
dc.subjectDatabases, Geneticen_NZ
dc.subjectMachine Learningen_NZ
dc.subjectSoftwareen_NZ
dc.titleIntroducing machine learning concepts with WEKA.en_NZ
dc.typeChapter in Book
dc.identifier.doi10.1007/978-1-4939-3578-9_17en_NZ
pubs.begin-page353
pubs.elements-id138261
pubs.end-page378
pubs.place-of-publicationNew York, NY, USA
pubs.publication-statusPublisheden_NZ
pubs.volume1418en_NZ


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