using the data mining process to detect patterns in the data base that were not previously hypothesized. In a way, this is a matter of generating hypothesis: finding correlations one did not expect or even think of. Once the patterns have been mined, they will enter the loop - described above - and will be tested with the use of new data. This is called unsupervised learning.

Two things are important with regard to this distinction. First, unsupervised