by Alex Guazzelli on 11/14/2009
Open source tools provide a cost-effective, yet powerful option for data mining. The following contenders adhere to the PMML standard that facilitates model exchange among open source and commercial vendors, providing a definitive route for production deployment of predictive models.
The R Project for Statistical Computing is definitely the most used and revered statistical package among advocates of open-source and community computing projects
Developed by the University of Konstanz, KNIME is an open-source platform that enables users to visually create and execute data flows.
Weka provides a large collection of machine learning algorithms for solving data mining problems
RapidMiner, formerly known as YALE, is an open-source platform that offers operators for all aspects of data mining.
Zementis offers a free PMML Converter through its website and the DMG (Data Mining Group).