Titlebook: Data Warehousing and Knowledge Discovery; 8th International Co A Min Tjoa,Juan Trujillo Conference proceedings 2006 Springer-Verlag Berlin

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flaggy

https://doi.org/10.1007/978-3-658-25837-5ns pointers to the spatial data. In addition, it exploits the hierarchical relationships among the different views by maintaining a universal composite lattice, and mapping each view onto it. We optimally decompose a spatial query into three components, the preview part, the materialized view part a

Fibroid

冷漠

半導(dǎo)體

Patrizia Ferretti Ph.D.,Anoop Kumar by our two-phase modeling method that proceeds by eliminating irregularities in the data with subsequent transformation of a complex hierarchical schema into a set of well-behaved sub-dimensions..Mapping of the data to a visual OLAP browser relies solely on meta-data which captures the properties o

BOON

,Salben als Medikamententr?ger,reducing cuboids aggregation by means of computing only the ., and present the M3C-Cubing algorithm that brings out those cuboids. Our evaluation study shows that the method followed is a promising candidate for scalable data cubing, reducing the number of cuboids by at least an order of magnitude o

BOON

起來了

ETLDiff: A Semi-automatic Framework for Regression Test of ETL Softwareing out change-prone values such as surrogate keys. The framework also provides tools for quickly detecting and displaying differences between the current ETL results and the reference results. In summary, manual work for test setup is reduced to a minimum, while still ensuring an efficient testing

顯赫的人

Preview: Optimizing View Materialization Cost in Spatial Data Warehousesns pointers to the spatial data. In addition, it exploits the hierarchical relationships among the different views by maintaining a universal composite lattice, and mapping each view onto it. We optimally decompose a spatial query into three components, the preview part, the materialized view part a

HUMP

Preprocessing for Fast Refreshing Materialized Views in DB2is restricted. This allows the query sharing technique to be applied only within groups in a second step. Finally, the query stacking technique is used again to determine an efficient global evaluation plan. An experimental evaluation shows that the execution time of the plan generated by our approa