WEKA
swMATH ID: | 6435 |
Software Authors: | Bouckaert, Remco R.; Frank, Eibe; Hall, Mark A.; Holmes, Geoffrey; Pfahringer, Bernhard; Reutemann, Peter; Witten, Ian H. |
Description: | WEKA: Waikato Environment for Knowledge Analysis. WEKA is a popular machine learning workbench with a development life of nearly two decades. This article provides an overview of the factors that we believe to be important to its success. Rather than focussing on the software’s functionality, we review aspects of project management and historical development decisions that likely had an impact on the uptake of the project. |
Homepage: | http://www.cs.waikato.ac.nz/ml/weka/ |
Programming Languages: | Java |
Operating Systems: | Linux/Gnome, MacOS |
Keywords: | machine learning software; open source software |
Related Software: | UCI-ml; C4.5; LIBSVM; R; Scikit; PRMLT; ElemStatLearn; KEEL; OpenML; LIBLINEAR; JStatCom; MULAN; caret; Matlab; Auto-WEKA; SATzilla; AdaBoost.MH; SMOTE; GitHub; auto-sklearn |
Cited in: | 231 Documents |
Further Publications: | http://www.cs.waikato.ac.nz/ml/publications.html |
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH | Year |
---|---|
WEKA – experiences with a Java open-source project. Zbl 1242.68001 Bouckaert, Remco R.; Frank, Eibe; Hall, Mark A.; Holmes, Geoffrey; Pfahringer, Bernhard; Reutemann, Peter; Witten, Ian H. |
2010
|
all
top 5
Cited by 633 Authors
all
top 5
Cited in 78 Serials
all
top 5