About this item
- Title
- Weka: Practical machine learning tools and techniques with Java implementations
- Content partner
- University of Waikato
- Collection
- ResearchCommons@Waikato
- Description
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 learni...
- Format
- Research paper
- Research format
- Working or discussion paper
- Date created
- 1999-08
- Creator
- Witten, Ian H. / Frank, Eibe / Trigg, Leonard E. / Hall, Mark A. / Holmes, Geoffrey / Cunningham, Sally Jo
- URL
- https://hdl.handle.net/10289/1040
- Related subjects
- computer science / Machine learning
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 20 April 2012, and updated 24 August 2023.
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