Abstract
In the real estate evaluations, both in urban and rural one, the several parameters methodology is assuming a more and more thickness role, considering that the determination of the value is reached analysing the real contribution of the single variables they define. This procedure supposes that information (data) is detailed as much as possible, assuring therefore, the objectivity of the entire operation. This work examines the possibility of using this method which exploit the “knowledge” contained in these data, through classification processes, typical of the Data Mining. Decisions Tree (D.T.), in fact, concurs to preview, through iterative processes, the most probable the real estate values, chancing variables intensity. Comparing to the regressive techniques, by now consolidated, the D.T. allows us to verify the different sequences by which variables participate to the price making.