Questions about Rule Induction

canzyj

dear all fellows in rapdminer forum,

Recently I am using Rapidminer for my project to find the hidden rule or pattern in my dataset.

The learner I used is Rule Induction. In order to make the learner able to process the data. I preprocess the orignal data with user-defined discretization. And then I get a lot of rules like

1. if feature1 = range[150-200] = true then 270-300  (0 / 0 / 0 / 0 / 0 / 0 / 0 / 0 / 0 / 0 / 110)
2. if feature2 = range[100-150] = false and feature3= range[20-25] = true then 270-300  (0 / 0 / 0 / 0 / 0 / 0 / 0 / 0 / 2 / 3 / 70)
3. if feature4 = range[150-200] = true and feature5 = range[20-25] = false then 270-300  (0 / 0 / 2 / 1 / 0 / 1 / 0 / 0 / 0 / 2 / 75).

Here comes my question, So the data which fits for the first rule, they won't be used or applied in the second rule, right? What if I do not want the second rule excludes the matched data for the first rule, how do I do it? is it possible in rapidminer?

Thank you very much. If my explaination is not cleear enough, please let me know.