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Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
Free software advocates strongly believe that this methodology is biased by counting more vulnerabilities for the free software systems, since their source code is accessible and their community is more forthcoming about what problems exist as a part of full disclosure, [39] [40] and proprietary software systems can have undisclosed societal ...
Weka: Pentaho Data Mining used the Waikato Environment for Knowledge Analysis to search data for patterns. Weka consists of machine learning algorithms for a broad set of data mining tasks. [5] It contains functions for data processing, regression analysis, classification methods, cluster analysis, and visualization.
Windows Server 2008/2003; Intel and 100% compatible processors are supported; Pentium 166 MHz or faster processor with at least 64 MB of physical RAM; 98 MB of free disk space; Download and install the latest Java Virtual Machine in Internet Explorer. 1. Go to www.java.com. 2. Click Free Java Download. 3. Click Agree and Start Free Download. 4 ...
Weka was developped by and still belongs to University of Waikato, New Zealand, which makes licenses available to other parties through its subsidary WaikatoLink. An encyclopedia should be more precise and not just repeat and copy the terms of the press texts of a company like Pentaho, even if many news articles are not that precise.
It is typically fully functional for an unlimited period of time. [12] In contrast to what the Free Software Foundation calls free software, the author of freeware usually restricts the rights of the user to use, copy, distribute, modify, make derivative works, or reverse engineer the software.
The weka is a species of New Zealand bird. Weka may also refer to: Weka (machine learning), a suite of machine learning software written at the University of Waikato; Weka, an unofficial unit prefix; WEKA-LD, a low-power television station (channel 26, virtual 41) licensed to serve Canton, Ohio, United States
C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. [1] C4.5 is an extension of Quinlan's earlier ID3 algorithm.The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.