In: Fundamenta Informaticae Vol. 28, pages 353-376. 1996.
Abstract: In the paper a method for discovery of data models represented by concurrent systems from experimental tables is described. The basic step consists in a determination of rules which yield a decomposition of experimental data tables; the components are then used to define fragments of the global system corresponding to a table. The method has been applied to automatic data models discovery from experimental tables with Petri nets as models for concurrency.
Keywords: Data mining, system decomposition, rough sets, concurrent models, laws discovery from experimental data.