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.

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.

RapidMiner's most important characteristic is the ability to nest operator chains and build complex operator trees. In order to support this characteristic, the RapidMiner (formerly YALE) data core acts like a data base management system and provides a multi-layered data view concept on a central data table which underlies all views.