University of Anbar
Arguably, the two main proponents of exploratory data mining research are clustering and pattern mining. Both share the aim of the field - extracting interesting, non-trivial, and previously unknown knowledge from data - yet, they are orthogonal in their approach, or at least appear so at first glance. Pattern mining, to start with, is concerned with developing theory and algorithms for identifying groups of attributes and some selection criteria on those; such that the most 'Interesting' attribute-values combinations in the data are returned. That is, by that selection the authors identify objects in the data that somehow stand out.