A Flexible Java Environment for Knowledge Discovery in Databases, Machine Learning, and Data Mining
RapidMiner (formerly YALE) is a flexible Java environment for knowledge discovery in databases, machine learning, and data mining. Much 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 requirement. 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.
We at AppsForMyPC have tested and used RapidMiner and it worked pretty smoothly 🙂 🙂