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jHepWork (or jWork) is an interactive framework for scientific computation, data analysis and data visualization designed for scientists, engineers and students. jHepWork is multiplatform since it is written in Java , thus it runs on any operating system where the Java virtual machine can be installed. The program is designed for interactive scientific plots in 2D and 3D and contains numerical scientific libraries implemented in Java for mathematical functions, random numbers, statistical analysis, curve fitting and other data mining algorithms. jHepWork uses high-level programming languages, such as Jython (Python implemented in Java), JRuby (Ruby implemented in Java), but Java coding can also be used to call jHepWork numerical and graphical libraries. jHepWork is an attempt to create a data-analysis environment using open-source packages with a coherent user interface and tools competitive to commercial programs.
JHepWork
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.
Weka 3 - Data Mining with Open Source Machine Learning Software in Java
I - RapidMiner
"Many thanks to all of you at Rapid-I for your hospitality and professionalism before and during the training course this week. For me there were so many highlights, but I just want to mention that my appreciation of what is possible with RapidMiner increased significantly during the 3 days - great product!" Russ Weedon, Basis06, Switzerland "RapidMiner is an awesome package. Thank you for making such powerful functionality available in such a convenient form." Michael Van Kleeck, USA
2010 Data Miner Survey: Thank you for your interest in the 4th Annual Rexer Analytics Data Miner Survey. Each year this research examines the analytic behaviors, needs, preferences, and views of data mining professionals. It is conducted as a service to the data mining community.
Rexer Analytics 4th Annual Data Miner Survey - 2010
RapidMiner
RapidMiner , formerly YALE (Yet Another Learning Environment), is an environment for machine learning , data mining , text mining , predictive analytics , and business analytics . It is used for research, education, training, rapid prototyping , application development , and industrial applications. In a poll by KDnuggets , a data-mining newspaper, RapidMiner ranked second in data mining/analytic tools used for real projects in 2009 [ 1 ] and was first in 2010. [ 2 ] It is distributed under the AGPL open source license and has been hosted by SourceForge since 2004. [ edit ] History The RapidMiner project was started in 2001 by Ralf Klinkenberg, Ingo Mierswa, and Simon Fischer at the Artificial Intelligence Unit of the Dortmund University of Technology .Orange (software)
Orange is a component-based data mining and machine learning software suite , featuring a visual programming front-end for explorative data analysis and visualization , and Python bindings and libraries for scripting. It includes a set of components for data preprocessing, feature scoring and filtering, modeling, model evaluation, and exploration techniques. It is implemented in C++ and Python . Its graphical user interface builds upon the cross-platform Qt framework. Orange is distributed free under the GPL .
List of free and open source software packages
This is a list of free and open source software packages : computer software licensed under free software licenses and open source licenses . Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open source . [ 1 ] For more information about the philosophical background for open source software, see free software movement and Open Source Initiative . However, nearly all software meeting the Free Software Definition also meets the Open Source Definition and vice versa. A small fraction of the software that meets either definition is listed here. [ edit ] Applied fields