Advanced Process Control and Data Mining for the microelectronics manufacturing industry

The aim of this project is to propose a new decisional model that improves the yield in microelectronics manufacturing industries.
All along the manufactoring process, data are collected and stored in heterogeneous databases. So it's worth to combine information contained in these heterogeneous databases, in order to extract the most significant and interessting knowledge. Thus techniques from data mining and ontology will be used to improve the manufacturing process.