Information requirements analysis for data warehouse systems differs significantly from requirements analysis for conventional information systems. Based on interviews with projec...
A data warehouse (DW) provides an information for analytical processing, decision making, and data mining tools. On the one hand, the structure and content of a data warehouse ref...
Bartosz Bebel, Johann Eder, Christian Koncilia, Ta...
Accurate summary data is of paramount concern in data warehouse systems; however, there have been few attempts to completely characterize the ability to summarize measures. The su...
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture ...
: We present a new approach to integrate annotation data from public sources for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse ...
Abstract. From the point of view of a data warehouse system its part of collecting and receiving information from other systems is crucial for all subsequent business intelligence ...
Abstract. Data warehouse architectural choices and optimization techniques are critical to decision support query performance. To facilitate these choices, the performance of the d...
The queries defined on data warehouses are complex and use several join operations that induce an expensive computational cost. This cost becomes even more prohibitive when querie...
Abstract: Wir präsentieren einen Ansatz, um Annotationsdaten von molekularbiologischen Objekten wie Genen, Proteinen und Pathways aus öffentlichen Datenquellen für datenintensiv...
In this paper, we propose an approach to materialize XML data warehouses based on the frequent query patterns discovered from historical queries issued by users. The schemas of in...