Witten, Ian H.Frank, EibeTrigg, Leonard E.Hall, Mark A.Holmes, GeoffreyCunningham, Sally JoKasabovNikolaKoKitty2024-01-112024-01-111999-11-22https://hdl.handle.net/10289/16313The 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 Weband accompanies a new text on data mining which documents and fully explains all the algorithms it contains. Applications written using the Weka class libraries can be run on anycomputer with a Web browsing capability.application/pdfenPresented at the ICONIP/ANZIIS/ANNES'99 International Workshop held in Dunedin, New Zealand on 22 September 1999. This is an author’s accepted version of a conference paper published in Emerging Knowledge Engineering and Connectionist-Based Information Systems. © 1999 The Authors.Weka: practical machine learning tools and techniques with Java ImplementationsConference Contribution