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...

Generally investors use heuristics in their process of decision-making with the aim of finding short-cuts and simplified roads to quite sophisticated answers. We conducted a survey on about 250 young people (18-27 years old) concerning their financial literacy and economic choices, given an...

Market features can be considered as forerunners of the European Commission's actions aimed at recognizing collusive behaviours. To identify information that might support the Commission in the exercise of its role of antitrust authority we propose a multi criteria approach. Its focus is on the...

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...

Purpose – The aim of this paper is to assess the performance of different widely-adopted models to forecast Italian hotel occupancy. In particular, the paper tests the different models for forecasting the demand in hotels located in urban areas, which typically experience both business and...

In this paper we analyze the stochastic model proposed by Galam in [2], for information spreading in a `word-of-mouth' process among agents, based on a majority rule. Using the communications rules among agents defined in [2], we first perform simulations of the `word-of-mouth' process and...