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Weka: Practical machine learning tools and techniques with Java implementations

Abstract
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. Weka is freely available on the World-Wide Web and accompanies a new text on data mining [1] which documents and fully explains all the algorithms it contains. Applications written using the Weka class libraries can be run on any computer with a Web browsing capability; this allows users to apply machine learning techniques to their own data regardless of computer platform.
Type
Working Paper
Type of thesis
Series
Computer Science Working Papers
Citation
Witten, I.H., Frank, E., Trigg, L., Hall, M., Holmes, G. & Cunningham, S.J. (1999). Weka: Practical machine learning tools and techniques with Java implementations. (Working paper 99/11). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
Date
1999-08
Publisher
Degree
Supervisors
Rights