Weka 3 - Data Mining with Open Source Machine Learning Software in Java

Weka is 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 visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. Weka is open source software issued under the GNU General Public License. Yes, it is possible to apply Weka to big data! Data Mining with Weka is a 5 week MOOC, which was held first in late 2013.

COC131 Data Mining, Tuotorials Weka "The overall goal of our project is to build a state-of-the-art facility for developing machine learning (ML) techniques and to apply them to real-world data mining problems. Our team has incorporated several standard ML techniques into a software "workbench" called WEKA, for Waikato Environment for Knowledge Analysis. Tutorial 01 (13/02/09) Get the old faithful data-set (.csv) here Get the tutorial 01 exercises here Get the tutorial 01 solutions here Statistics revision for Tutorial 01 here Tutorial 02 (20/02/09) Get the iris data-set (.arff) here Get the tutorial 02 exercises here Tutorial 03 (27/02/09) Get the tutorial 03 exercises here Tutorial 04 (06/03/09) Tutorial 03 exercises and clarification of any issues from earlier tutorials Tutorial 05 (13/03/09) Get the tutorial 04 exercises here Tutorial 06 (20/03/09) Get the flags data-set (.arff) here Get the whole euro data-set (.arff) here Get the tutorial 05 exercises here Tutorial 07 (27/03/09) Tutorial 08 (24/04/09) Coursework

Healthcare Reform May Not Improve Medical Bills A healthcare reform study in Massachusetts reported more people covered under insurance did not improve medical debts for them. Tuesday the American Journal of Medicine published these findings which looked at Massachusetts healthcare reform,modeled after President Barack Obamas national plan that was passed last year. Advocators for the national healthcare reform claimed it would reduce medical bankruptcy. "These data suggest that reducing medical bankruptcy rates in the United States will require substantially improved -- not just expanded -- insurance," authors wrote. Researchers took a random sample of Massachusetts bankruptcy filers in July 2009 and sent surveys to 500 households. The Massachusetts healthcare reform was implemented in 2008,so they compared their data to 2007 information. Medical bills were still 52.9 percent of all bankruptcies in the state, although the percent was slightly down. "We need to reduce limits on deductibles and out-of-pocket costs," said Dr.

Orange – Data Mining Fruitful & Fun GGobi data visualization system. Octave GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Octave is distributed under the terms of the GNU General Public License. Version 4.0.0 has been released and is now available for download. An official Windows binary installer is also available from A list of important user-visible changes is availble at by selecting the Release Notes item in the News menu of the GUI, or by typing news at the Octave command prompt. Thanks to the many people who contributed to this release!

The R Project for Statistical Computing Home - SCaVis Freedom to choose a programming language. Freedom to choose an operating system. Freedom to share your code. Supported programming languages SCaVis can be used with several scripting languages for the Java platform, such as BeanShell, Jython (the Python programming language), Groovy and JRuby (Ruby programming language). Supported platforms SCaVis runs on Windows, Linux, Mac and Android operating systems. SCaVis is a successor of the popular jHepWork package which has been under intensive development since 2005. Weka---Machine Learning Software in Java | Free software downloads