Resource title

Open-Source Machine Learning: R Meets Weka

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Resource description

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) ; Series: Research Report Series / Department of Statistics and Mathematics

Resource author

Kurt Hornik, Christian Buchta, Achim Zeileis

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Resource publish date

Resource language

en

Resource content type

application/pdf

Resource resource URL

http://epub.wu.ac.at/1188/1/document.pdf

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Adapt according to the license agreement. Always reference the original source and author.