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      Introducing machine learning concepts with WEKA.

      Smith, Tony C.; Frank, Eibe
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      SmithFrankWEKAchapter2015withRefs.pdf
      Accepted version, 894.6Kb
      DOI
       10.1007/978-1-4939-3578-9_17
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      Smith, 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_17
      Permanent Research Commons link: https://hdl.handle.net/10289/13170
      Abstract
      This 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.
      Date
      2016
      Type
      Chapter in Book
      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
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      • Computing and Mathematical Sciences Papers [1455]
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