RapidMiner 4.0

RapidMiner (formerly YALE) is a flexible Java environment for knowledge discovery in databases, machine learning, and data mining. Many nestable learning and preprocessing operators (including Weka) are provided.
The project features an XML-based graphical user interface, a plugin mechanism, and high-dimensional plotting, and provides an easy-to-use extension mechanism that makes it possible to integrate new operators and adapt the system to your personal requirements. A command line version is also included.
RapidMiner (formerly YALE) and its plugins provide more than 400 operators for all aspects of Data Mining. Meta operators automatically optimize the experiment designs and users no longer need to tune single steps or parameters any longer. A huge amount of visualization techniques and the possibility to place breakpoints after each operator give insight into the success of your design - even online for running experiments. On this page we discuss the main groups of operators and give operator examples for each of the groups.
Enhancements:
- This release supports workspaces for different projects.
- The training and the test data no longer need to have exactly the same structure.
- The operator PerformanceEvaluator is now divided into smaller task dependent operators.
- Rule learners are able to learn from numerical data.
- Several new visualization techniques and plotters were added.
- This release also fixes many bugs, including a name bug for attribute names with different cases and a bug in the Anova calculation operators.