Covers and partitions for observation based learning

Abstract

International audienceA great number of complex industrial systems produce goods whose quality is very sensitive to the variations of some production parameters. It is often the case that no model exists, which relates the "quality variables" to the "production variables". However, the existence of such models would be very appreciable for process supervision. Knowledge based models can be constructed using the experience of the process operators, and used for diagnosis purposes. Another approach leads to use data analysis methods in order to construct statistical models, since the variables which define the product's quality and the operation parameters can often be evaluated. This is a learning situation, in which knowledge acquisition (model building) is made through the consideration of a set of examples (the data)