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...

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 NP-hard nature of cardinality constrained mean-variance portfolio optimization problems has led to a variety of different algorithms with varying degrees of success in reaching optimality given limited computational resources and under the presence of strict time constraints in practice. The...

Preventive health care is of utmost importance to governments since they can make massive savings on health care expenditure and promote the well-being of the society. Preventive care includes many services such as cancer screenings, vaccinations, hepatitis screenings, and smoking cessation...

We present an approach to forecast customer orders of ready-to-launch new products that are similar to past products. The approach fits product life cycle (PLC) curves to historical customer order data, clusters the curves of similar products, and uses the representative curve of the new...

Macroeconomic analysis in Lebanon presents a distinct challenge. For example, long delays in the publication of GDP data mean that our analysis often relies on proxy variables, and resembles an extended version of the 'nowcasting' challenge familiar to many central banks. Addressing this...

This paper presents an algorithmic approach to optimize the grocery shopping behaviour of consumers under specific circumstances: a highly restrictive budget and cognitive constraints. I develop a formal optimization model that accounts for the trade-off between dietary objectives and product...

Galician Abstract: O impacto socio-económico do turismo está atraendo a atención dos estudios de políticas públicas. A actividade turística pode producir relevantes beneficios económicos, pero pode tamén producir impactos negativos nas comunidades locais, o seu patrimonio cultural así...

The widespread use of the Internet and computer systems has led to a situation where data are available on almost everything. The volume and the level of detail of these data is something we considered to be impossible until a few years ago. Researchers in economics and business now have access...

We investigate the data-driven newsvendor problem when one has n observations of p features related to the demand as well as historical demand data. Rather than a two-step process of first estimating a demand distribution then optimizing for the optimal order quantity, we propose solving the...