\input zb-basic
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\iteman{io-port 05925218}
\itemau{Hornik, Kurt; Buchta, Christian; Zeileis, Achim}
\itemti{Open-source machine learning: R meets Weka.}
\itemso{Comput. Stat. 24, No. 2, 225-232 (2009).}
\itemab
The Waikato Environment for Knowleage Analysis (Weka) is an open-source project in machine learning covering classification, regression, clustering, association rules and visualization. It is implemented on Java and released under GPL. This paper is devoted to the Weka interface for R-software provided by the R extension package {\tt RWeka}. The interfacing methodology, limitations and possible extensions are discussed.
\itemrv{R. E. Maiboroda (Ky\"\i v)}
\itemcc{}
\itemut{R statistical software; RWeka}
\itemli{doi:10.1007/s00180-008-0119-7}
\end