摘要：Data warehouses are designed to help users to manage large volumes of data. Online analysis OLAP provides a simple and quick visualization of the information and multidimensional view of data. On the other hand, Data mining is a set of techniques which allows the extraction of knowledge from data warehouses. As part of this work, we propose new ways to improve existing approaches in the process of decision support. In the continuity of the work treating the coupling between the on-line analysis and data mining, an approach based on automatic learning and clustering was proposed in order to integrate the prediction in the heart of OLAP
