Quotation Hornik, Kurt, Buchta, Christian, Zeileis, Achim. 2009. Open-source Machine Learning: R Meets Weka. Computational Statistics 24 (2): 225-232.




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.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Computational Statistics
Citation Index SCI
WU-Journal-Rating new FIN-A
Language English
Title Open-source Machine Learning: R Meets Weka
Volume 24
Number 2
Year 2009
Page from 225
Page to 232
Reviewed? Y
URL http://www.springerlink.com/content/f85818rl04tw1t54/


Hornik, Kurt (Details)
Buchta, Christian (Former researcher)
Zeileis, Achim (Former researcher)
Institute for Marketing and Customer Analytics IN (Details)
Institute for Statistics and Mathematics IN (Details)
Research Institute for Computational Methods FI (Details)
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