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      • Computing and Mathematical Sciences
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      WEKA−Experiences with a Java open-source project

      Bouckaert, Remco R.; Frank, Eibe; Hall, Mark A.; Holmes, Geoffrey; Pfahringer, Bernhard; Reutemann, Peter; Witten, Ian H.
      Link
       jmlr.csail.mit.edu
      Citation
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      Bouckaert, R.R., Frank. E., Hall, M.A., Holmes, G., Pfahringer, B.,…, Witten, I.H. (2010). WEKA−Experiences with a Java open-source project. Journal of Machine Learning Research, 11, 2533-254.
      Permanent Research Commons link: https://hdl.handle.net/10289/4766
      Abstract
      WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software's functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project.
      Date
      2010
      Type
      Journal Article
      Publisher
      Microtome Publishing
      Collections
      • Computing and Mathematical Sciences Papers [1455]
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