Discovering and visualizing attribute associations using bayesian networks and their use in KDD

摘要

In this paper we describe a way to discover attribute associations and a way to present them to users using Bayesian networks.We describe the possibility of using attribute associations to help in deciding if a given data set is suited to learning decision trees.We found 3types of structural characteristics in Bayesian networks obtained from the data.The characteristics ahve strong relevance to the results of learning decision trees.