Date : April 30, 2015, 2 p.m. - Room :Salle du conseil
A Panorama of Data Uncertainty Models
Allel HADJALI - Ecole Nationale Supérieure de Mécanique et d’Aérotechnique Poitiers
Possibilité de visio-conférence @IP : 22.214.171.124 Nom du correspondant technique : Nicolas CHAMPEIL Tél correspondant technique : 04 73 40 50 15 / 06 78 34 55 26 firstname.lastname@example.org Tél salle de visio : 04 73 40 50 47 Uncertainty is one major aspect of imperfection of data. At least three causes of this kind of imperfection can be distinguished : (i) variability of phenomena which prevents to predicate their behavior, (ii) lack of information, (iii) conflicting/evolving information. Several models to represent uncertainty exist in the literature. It is well known that each model is insufficient to handle all facets of uncertainty. Some models are more general than others, some are more fitted to a given situation than others, some are more mature than others, some have interpretations better fitted to a particular situation or problem, some dispose of more convenient tools than others. In this talk, the aim is not to show 'which is the best model' but rather 'when, where, why and how each model should be used ?' Illustrations borrowing from Databases field are provided.