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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".
RapidMiner – Data mining software written in Java, fully integrating Weka, featuring 350+ operators for preprocessing, machine learning, visualization, etc. – the prior version is available as open-source; Scriptella ETL – ETL (Extract-Transform-Load) and script execution tool. Supports integration with J2EE and Spring.
Baudline is a time-frequency browser for numerical signals analysis and scientific visualization.; COMSOL Multiphysics is a finite-element analysis, solver and simulation software / FEA Software package for various physics and engineering applications, especially coupled phenomena, or multiphysics.
Auto-WEKA is an automated machine learning system based on Weka by Chris Thornton, Frank Hutter, Holger H. Hoos and Kevin Leyton-Brown. [1] An extended version was published as Auto-WEKA 2.0. [2] Auto-WEKA was named the first prominent AutoML system in a neutral comparison study. [3] It received the test-of-time award of the SIGKDD conference ...
Article should not be deleted. It needs expansion. Weka is part of machine learning curriculum in many universities. It is also among the few openly available toolkits to test machine learning algorithms (bayes, j48, ZeroR, OneR) on sample data sets, create models and apply the learnt models on new test sets of data.
Download QR code; Print/export Download as PDF; Printable version; In other projects ... Weka, a free implementation of many machine learning algorithms in Java.
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.
The Euler core is a numerical system written in C/C++.It handles real, complex, and interval values, and matrices of these types. Other available data types are sparse, compressed matrices, a long accumulator for an exact scalar product, and strings.