Weka

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and... Platforms: Windows

Weka packahe provides a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and... Platforms: Windows

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms. Platforms: Windows, Mac, Linux

weka outlier is an implementation of outlier detection algorithms for WEKA. CODB (Class Outliers: Distance-Based) Algorithm is the first algorithm developed using WEKA framework. Platforms: Windows, Mac, Linux

Weka.Net is a port to .Net of the Weka library.It use all the power of .net including some redisene of thelibrary to make more Object-Oriented. Platforms: Windows, Mac, Linux

Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly. Platforms: Windows, Mac, Linux

The file demonstrates interfacing Java with Matlab by using weka (Machine learning software, written in JAVA) as an example. Platforms: Matlab

Weka is a complete and user-friendly data-mining environment that can be used for any research project. But Weka decision tree classifiers outputs the decision tree either as a Weka-syntaxed text tree or as a binary file (neither readable nor editable in a text editor). Platforms: Windows

The GUI executes various WEKA classifiers and displays the results in MATLAB. Key features "mweka": - Command line options for running weka - Demonstrate how to change classifier option using java class (similiar to GenericObjectEditor in weka) - Read and Write ARFF file to/from MATLAB - Able to... Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

This is a Wrapper (calling a simple cmd line), it includes the WEKA.jar file, the arff read and arff write files from Durga Lal Shrestha and My scripts to link them and run Model Tree, Neural Networks, support vector regression models, Linear Regression model etc, it includes a testing script... Platforms: Matlab

The GUI executes various WEKA classifiers and displays the results in MATLAB.Here are some key features of "mweka":dlTE Command line options for running wekadlTE Demonstrate how to change classifier option using java class (similiar to GenericObjectEditor in weka)dlTE Read and Write ARFF file... Platforms: Matlab

Dataset Retrieval through Intelligent Agents (DARIA): is an Open Source project for facilitating the construction of ARFF data set files for use with WEKA or any such Machine Learning/Data Mining Software through the use of Intelligent Agents. Platforms: Windows, Mac, Linux

This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs. Platforms: Windows, Mac, Linux

Quantian distribution is a remastering of Knoppix, the self-configuring and directly bootable dvd/cdrom that turns any pc or laptop (provided it can boot from cdrom/dvd) into a full-featured Linux workstation. Recent versions of Quantian are based on clusterKnoppix and add support for... Platforms: *nix

RapidMiner is the world-wide leading data mining solution due to the combination of its functional range and its leading-edge technologies. Applications of RapidMiner have a wide spread in data mining all over the world. Use RapidMiner and explore your data! Simplify the construction of... Platforms: Windows

RapidMiner is the world-wide leading data mining solution due to the combination of its functional range and its leading-edge technologies. Applications of RapidMiner have a wide spread in data mining all over the world. Use RapidMiner and explore your data! Simplify the construction of... Platforms: Windows

The aim of the BioWeka project is to add bioinformatics functionalities such as e.g. alignments to the popular machine learning framework Weka. Platforms: Windows, Mac, Linux

Open data mining platform. Provides common architecture for algorithms of various types. Efficient processing of arbitrarily large volumes of data thanks to data streaming. Weka and Rseslib partially integrated. (www.debellor.org) Platforms: Windows, Mac, Linux

jAudio is a project implementing a number of common feature extraction algorithms for analyzing audio in java. Output is either in Weka's ARFF format or the ACE format. Can be used either as a GUI application, command-line application, or embedded. Platforms: Windows, Mac, Linux

JUDGE (Java Utility for Document Genre Eduction) features automatic classification and clustering of documents, optionally as a webservice.The program is written entirely in Java and makes use of the Weka machine learning toolkit. Platforms: Windows, Mac, Linux