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 requirem 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.
What is new in this release:
- The latest version of the Weka machine learning library was added, together with some other small additions and extensions.
- Several minor bugs were also fixed.
What is new in version 4.3:
- This release focuses on the most requested data analysis, ETL, and BI requirements.
- It provides more than 50 new operators and a lot of new features including upgraded data pivotings, new aggregation functions, and date and time handling.
- The usage of function-based attribute construction was simplified, and optimized wizards or new visualizations, including zooming and panning, were added.
- More powerful processes are now possible due to enhanced macros and the new result storage mechanism.
- This release also provides fixes for more than 30 bugs.
Comments not found