A UML-extended approach for mining olap data cubes in complex knowledge discovery environments

In this paper, we propose theoretical assertions and practical instances of an innovative UML-extended approach for mining OLAP data cubes in complex knowledge discovery environments. This analytical contribution is further extended by means of a comprehensive set of case studies that clearly demonstrate the feasibility and the benefits of the proposed approach in the context of next generation Data-Warehousing/Data-Mining platforms.