Weka (machine learning)
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| | |
| WEKA | |
|---|---|
| Type | Open Source |
| Industry | Machine Learning |
| Founded | 1993 |
| Headquarters | Hamilton, New Zealand |
| Key people | Ian H. Witten, Eibe Frank |
| Investors | Pentaho Inc. |
| Related Certifications | Certificate in Machine Learning Industry Overview |
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[1]. Weka is freely available on the World-Wide Web and accompanies a new text on data mining which documents and fully explains all the algorithms it contains. It is free software licensed under the GNU General Public License. WEKA is a popular suite of machine learning software written in Java, developed at the University of Waikato, New Zealand.
Contents
History
- In 1993, the University of Waikato in New Zealand began development of the original version of Weka, which became a mix of Tcl/Tk, C, and Makefiles.[2]
- The original non-Java version of Weka was a Tcl/Tk front-end to (mostly third-party) modeling algorithms implemented in other programming languages, plus data preprocessing utilities in C, and a Makefile-based system for running machine learning experiments. This original version was primarily designed as a tool for analyzing data from agricultural domains.[3]
- In 1997, WEKA was redeveloped from scratch in Java, including implementations of modeling algorithms.[4]
- The 2005 ACM SIGKDD Service Award was presented to the Weka team for their development of the freely-available Weka Data Mining Software.[5]
- In 2006, Pentaho Corp., creator of the world's most popular open source business intelligence (BI) suite, announced the acquisition of Weka open source data mining project.[6]
- WEKA was ranked among Infoworld's 'Top 11 open source tools to make the most of machine learning'.[7]
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- ↑ http://www.cs.waikato.ac.nz/~ml/publications/1999/99IHW-EF-LT-MH-GH-SJC-Tools-Java.pdf
- ↑ https://www.cs.waikato.ac.nz/~ml/publications/1994/Holmes-ANZIIS-WEKA.pdf
- ↑ http://www.cs.waikato.ac.nz/~ml/publications/1995/Garner95-imlc95.pdf
- ↑ http://www.cs.waikato.ac.nz/~ml/publications/1999/99IHW-EF-LT-MH-GH-SJC-Tools-Java.pdf
- ↑ http://www.kdnuggets.com/news/2005/n13/2i.html
- ↑ http://www.businesswire.com/news/home/20060919006066/en/Pentaho-Acquires-Weka-Project-Worlds-Popular-Open
- ↑ http://www.infoworld.com/article/2853707/machine-learning/11-open-source-tools-machine-learning.html#slide10
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