The Weka Workbench Weka is open-source machine learning software issued under the GNU General Public License.

Online Appendix for “Data Mining: Practical Machine Learning Tools and Techniques” Morgan Kaufmann, Fourth Edition, 2016

1. Introduction agriculural business context. This research was partially funded by a Foundation for Research, Science and Technology The machine learning tools used were those presented …

Ian H. Witten Department of Computer Science University of Waikato New Zealand weka.waikato.ac.nz ... a practical course on how to use Weka for data mining ... explains the …

WEKA is a workbench designed to aid in the application of machine learning technology to real world data sets, in particular, data sets from New Zealand's agricultural sector.

The Waikato Environment for Knowledge Analysis (Weka) is a comprehensive suite of Java class libraries that implement many state-of-the-art machine learning and data mining algorithms.

isting techniques to real problems. The WEKA* project (Waikato Environment for Knowledge Analysis) is redressing the balance by applying standard machine learning techniques to a …

Weka has implementations of all major learning techniques for classification and regression: decision trees, rule sets, Bayesian classifiers, support vector machines, logistic and linear …

Weka contains a comprehensive set of useful algorithms for a panoply of data mining tasks. These include tools for data engineering (called “filters”), algorithms for attribute selection, …

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.