Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
An original method for service life assessment of building products is proposed. In addition to a rigorous analysis and system modelling, "Evidence Theory" is adapted an...
When a database is defined as views over autonomous sources, inconsistencies with respect to global integrity constraints are to be expected. This paper investigates the possibili...
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...