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 DataWarehousing/Data-Mining platforms.

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