From KDD to Decision Science: what's in a term?

KDD: This was in fact the first term ever used to describe what we are still actively pursuing today: knowledge discovery from data(bases). Initially, this was the basic function assigned to what we call AI today: to get information out of databases by combining and comparing data, and to use this information to obtain new insights/knowledge. Actually, KDD goes all the way back to when SAS was originally founded in 1976! Data mining: This term refers to a next level of data discovery: the purpose-oriented search for meaningful patterns in data. Churn detection (analyzing customers' behaviour in regard to the competition) and association rule mining (studying grouped purchases of products) are two of the more widely known applications of data mining.