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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Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization 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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https://doi.org/10.1057/9780230583306ase metadata for implementing the data- warehouse repository. Surprisingly, current approaches for multidimensional modelling overlook the necessity of generating additional data-cube metadata to allow end-user tools to query the data warehouse. To overcome this situation, we propose an approach bas

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https://doi.org/10.1057/9780230583306ial data warehouses (SDW). However, these approaches often fail in providing mechanisms to univocally and automatically derive a logical representation. Even more, the spatial data often generates complex hierarchies (i.e., many-to-many) that have to be mapped to large and non-intuitive logical stru

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https://doi.org/10.1007/978-3-211-39410-6. to ... In this paper, we are interested in borders for emerging cubes which optimize both storage space and computation time. Such borders also provide classification and cube navigation tools. Firstly we study the condensed representation through the classical borders ., then we propose the borde

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S. Tokumasu,Y. Ohta,N. Nakajimaanalysis of numeric data. With the growing availability of digital documents, there is a need for incorporating text-rich documents within multidimensional databases as well as an adapted framework for their analysis. This paper presents a new aggregation function that aggregates textual data in an

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