An approach to data-mining for product driven systems

Philippe Thomas (1) , André Thomas (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

The first objective of this chapter is to highlight some new Product Driven Sys-tems (PDS) issues. Effectively, several possibilities have been proposed to give to products or objects capacities to react to environment modifications (especially in manufacturing and logistics context here). In particular, bio-inspired approach-es are now promising. All these new perspectives lead putting products in action according to collected information. That's why all technics leading to exploit and organize data are necessary. The main objective of the chapter is addressed in a second part, where we highlight why learning machines could be seen as a new way to transform data in useful knowledge.

Mots clés: Product Driven Systems; Viable systems; Learning machines; Neural network; Data mining

Domaines: Réseau de neurones [cs.NE]

Philippe Thomas, André Thomas. An approach to data-mining for product driven systems. Theodor Borangiu, André Thomas, Damien Trentesaux. Service Orientation in Holonic and Multi-Agent Manufacturing Control, Springer-Verlag, pp.181-194, 2013, Studies in Computational Intelligence, vol. 472, 978-3-642-35851-7. ⟨10.1007/978-3-642-35852-4_12⟩. ⟨hal-00913300⟩