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

DIS

Grundlagen juveniler Vergemeinschaftungthe file; however, performing a random disk access for each record can be costly and this cost increases with the size of the file. We propose a bulk loading algorithm that can avoid random disk accesses by reducing multiple accesses to the same location into a single access and reordering the acces

textile

https://doi.org/10.1007/978-3-658-25837-5w selection, the task of selecting a subset of views to materialize based on knowledge of the incoming queries and updates, is an important and challenging problem. In this paper we explore . in which the distribution of queries changes over time, and a subset of a materialized view set is updated t

neolith

EXULT

Anastasia S. Yandulskaya,James R. Monaghanoit commonalities among the views and to employ multi-query optimization techniques in order to derive an efficient global evaluation plan for refreshing the MVs concurrently. .2. (DB2 UDB) provides two query matching techniques, query stacking and query sharing, to exploit commonalities among the M

否認

實施生效

Ashley W. Seifert,Joshua D. Currie. While much recent research has been focused on the design of multidimensional conceptual models, only few works were done to develop models and tools to analyze them. Despite specificities (OLAP, historicization, ...) of these requirements, most of the previous works used an E/R or UML schemas whi

散步

Johanna E. Farkas,James R. Monaghan Ph.D.cally generates and proposes the set of multidimensional schemas satisfying the user requirements, from the organizational operational schemas. If no multidimensional schema is generated for a query, we can state that requirement is not multidimensional.

acrimony

提名的名單

Salamanders in Regeneration Researchlization of such data structures. Founding on very efficient data compression solutions for two-dimensional data domains, the proposed technique relies on the amenity of generating “semantics-aware” compressed representation of two-dimensional OLAP views extracted from multidimensional data cubes vi

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