Bayesian Confirmation Measures can be used in ranking inductive rules obtained as an output when using Association Rules in database mining. Many measures of this kind have been defined and the choice of the right one can be considered as a further challenge to be faced. In this paper we try to...

The main goal of this research is to analyze Italian tourists' behaviors on the basis of statistical surveys on households, life conditions, incomes, consumptions, travels and vacation. Rough Sets Theory, a Data Mining technique that can easily manage also categorical variables, is suitable for...

Many Bayesian Confirmation Measures have been proposed so far. They are used to assess the degree to which an evidence (or premise) E supports or contradicts an hypothesis (or conclusion) H, making use of prior probability P(H), posterior probability P(H|E) and of probability of evidence P(E)....

The main goal of this research is to analyze Italian tourists' behaviors on the basis of statistical surveys on households, life conditions, incomes, consumptions, travels and vacation. Rough Sets Theory, a Data Mining technique that can easily manage also categorical variables, is suitable for...