Data Mining is a recently (1993) introduced research area. It is defined as the ``non-trivial extraction of implicit, previously unknown and potentially useful information from data''. With as broad a definition as this and the obvious interest from the companies, quite a few ``classes'' of Data Mining problems have emerged. The basic ones are:   Association Rules,   Classifications   and   Sequential Patterns.   In my presentation, I'll try to sketch a few ``classic'' data mining algorithms, and also talk a bit about Quantitative Association Rules.

Some Excellent Starting Points: