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What I want to find out is:
If there are some structures (e.g. rules: if...then...else....) in my datasets ( RapidMiner detects for me, hopefully ),
how can i figure out if different datasets have the same structures ( in sense of the rules, not only the data )???
What do you think about this option:
1. I learn a model ( e.g. a decision tree ) for every dataset and apply it to all other datasets.
Then I will check the performance for every model and if the performance is almost equal to the reference performance, the rules are similar ( if there is an unambiguous solution )