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RWeka

swMATH ID: 7208
Software Authors: Hornik, Kurt; Buchta, Christian; Zeileis, Achim
Description: Open-source machine learning: R meets Weka. 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 RWeka. The interfacing methodology, limitations and possible extensions are discussed.
Homepage: http://cran.r-project.org/web/packages/RWeka/index.html
Dependencies: R
Keywords: R statistical software; RWeka
Related Software: R; UCI-ml; rpart; C4.5; WEKA; partykit; caret; C50; CRAN; randomForest; Kernlab; mlbench; party; data.tree; snow; GenSA; BBmisc; shiny; shinyjs; DT
Referenced in: 13 Publications

Standard Articles

1 Publication describing the Software, including 1 Publication in zbMATH Year
Open-source machine learning: R meets Weka. Zbl 1232.62007
Hornik, Kurt; Buchta, Christian; Zeileis, Achim
2009

Referencing Publications by Year