An unsupervised database mining methodology is under development. A particular goal is that the process be understandable. This methodology tries to identify relationships having the most information value through a progressive reduction of cognitive dissonance. This work is dependent on soft computing tools. This can be thought of as discovering 'interesting' pattern.
Databases have significant amounts of stored data.
Much of the data is implicitly or explicitly imprecise. The data is valuable because it was collected to explicitly support enterprise activities. There could well be undiscovered, valuable relationships. The issue is best recognizing them. Database mining supports the creation of knowledge from collected data.