I'm having difficulties in finding examples of a Verification Data-mining/KDD approach. Let me explain what I mean by that.
In the notorious article From Data Mining to KDD by Fayyad et al the following definition is mentioned: "The knowledge discovery goals are defined by the intended use of the system. We can distinguish two types of goals: (1) verification and (2) discovery."
After, the Discovery goal is then divided in prediction and description categories .
But, I'm using as my main source the book Introduction to Data Mining by Tan et al, and there he doesn't mention the verification goal of Data-mining. In addition, the web doesn't seems to help either. Could you please give me a hand on finding cases where the goal of the process is verification?
I have some hypothesis. In this article David J. Hand says: "It is probably no exaggeration to say to say that most statisticians are concerned with primary data analysis. That is, the data are collected with a particular question or set of question in mind.".
Thus, could this scope be one example where the verification goal could be applied?