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.

The installation of RapidMiner (formerly YALE) is very simple. This installation guide describes the installation process for Microsoft Windows systems as well as for all other supported platforms. You can also find some comments how RapidMiner can be started and how the installation can be further improved.

Here you can find all documents explaining the usage of RapidMiner (formerly YALE). The first chapters of the RapidMiner tutorial together with the GUI manual are a good starting point for learning the usage of RapidMiner. We also recommend to perform the online tutorial available in the help menu of RapidMiner.

The modular operator concept of RapidMiner (formerly YALE) allows the design of complex nested operator chains for a huge number of learning problems in a very fast and efficient way (rapid prototyping). The data handling is transparent to the operators. They do not have to cope with the actual data format or different data views - the RapidMiner core takes care of all necessary transformations. Read here about the most important features of RapidMiner.