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back | new search | print Hornik, Kurt; Buchta, Christian; Zeileis, Achim: Open-Source Machine Learning: R Meets Weka Research Report Series / Department of Statistics and Mathematics, Nr. 50, March 2007 Department of Statistics and Mathematics , Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2007 Holdings from the WU library catalog | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_ba6 Download document 7 pages/234 kB © Copyright notice  Abstract: Two of the prime open-source environments available for machine/statistical learning in data mining and knowledge discovery are the software packages Weka and R which have emerged from the machine learning and statistics communities, respectively. To make the different sets of tools from both environments available in a single unified system, an R package RWeka is suggested which interfaces Weka's functionality to R. With only a thin layer of (mostly R) code, a set of general interface generators is provided which can set up interface functions with the usual "R look and feel", re-using Weka's standardized interface of learner classes (including classifiers, clusterers, associators, filters, loaders, savers, and stemmers) with associated methods. (author's abstract)  Keywords: machine learning / statistical learning / Weka / R / Java / interface © 2009 University Library and Institute for Information Business, Vienna University of Economics and Business | Thu Sep 2 19:27:45 2010