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Titlebook: Data Warehousing and Knowledge Discovery; 10th International C Il-Yeol Song,Johann Eder,Tho Manh Nguyen Conference proceedings 2008 Springe

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ICONS and User-Interface Communicationlement 3 query processing strategies of very different nature on our experimental MOLAP system. Detailed experimental performance data are presented, using a real-life spatial database with 1/3 million of spatial objects.
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https://doi.org/10.1007/978-1-4684-8586-8 asked. We verify our proposal experimentally by running our algorithm against the state-of-the-art database query optimizer. The results of conducted experiments show that our algorithm outperforms traditional cost-based query optimizer with respect to the accuracy of cardinality estimation for a wide range of queries.
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A Robust Sampling-Based Framework for Privacy Preserving OLAPue is compared with the one of the method ., the state-of-the-art privacy preserving OLAP perturbation-based technique, under several perspectives of analysis. The derived experimental results confirm to us the benefits deriving from adopting our proposed framework for the goal of preserving the privacy of OLAP data cubes.
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