GridMiner: A Framework for Knowledge Discovery on the Grid - from a Vision to Design and Implementation

Knowledge discovery in data sources available on Computational Grids is a challenging research and development issue. Several Grid research activities addressing some facets of this process have already been reported. The GridMiner project (www.gridminer.org) at the University of Vienna aims, as the first Grid research effort, to cover all aspects of the knowledge discovery process and integrate them as advanced service-oriented Grid application. The innovative architecture provides a robust and reliable high performance data mining and OLAP environment and strengths the importance of Grid enabled applications in terms of business intelligence and detailed analysis of very large scientific data sets. The interactive cooperation of different services data integration, data selection, data transformation, data mining, pattern evaluation and knowledge presentation within the GridMiner architecture is the key to high performance knowledge discovery on large datasets.