Author(s)

S.O. Rezende, C.A.J. da Rocha & R.B. Lobo

Abstract

The fact that companies are becoming more and more interested in acqui- ring new technologies for processing and storing data, as well as the view that information is their largest asset, has led to much research about the process of transforming this data into knowledge. In this context, the Kno- wledge Discovery in Databases process has emerged as a technology well suited to searching for knowledge that is embedded in the data. The work presented here involves the investigation of Bayesian concepts, techniques, methods and tools to aid a KDD process for a database from the

Keywords