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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.
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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.
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This web page provides a selection of screenshots for RapidMiner.
These pictures might help you to get a first impression of the abilities of RapidMiner.
This page contains a large number of images.
Please be patient until all pictures were loaded.
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