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.
In a sense, the implicit knowledge is knowledge not yet available for use. Much of the existing database mining work has used supervised discovery. However, supervised search limits the results as it determines in advance the subjects that are of interest. This is counter-intuitive to the general goal of conducting discovery to find unexpected, interesting things. In keeping with the more ambitious database discovery goals, this work considers unsupervised discovery.