Résumé:
In this graduate project, we propose to design and implement a decision-making
IT system that integrates different data mining techniques.
Unlike conventional systems based on a mono-perspective vision that focuses on one
aspect, we suggest an integration that uses multiple techniques at once.
We admit that the data warehouse is already designed and it is powered by historical
data and we specify four data mining techniques, namely : data analysis, artificial in-
telligence, OLAP and statistics.
The proposed approach has been implemented and experimented on a real trial game
and the first experimental results are very promising
