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is it possible to solve this using rapid miner?
I want to know whether we can develop a model using the rapid Miner for the following......
My objective is to analyze incoming claims data and evaluate it for complexity and fraudulent behavior.
Using the available operators, can we build a model that
---> transforms unstructured data(eg.phrase) into actionable data
----> Performs segmentation and clustering ( to classify insurance claims on their complexity)
-----> Defines rules to the model and match with new claim data
-------> Outputs flagged claims
I hope i am clear with my question. Please suggest me the ways with which i can do it. I should also display the result in adjuster's portal.