Abstract
Due to the increasing size of data warehouses it is often infeasible to materialize all possible aggregate views for Online Analytical Processing. View 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 Dynamic View Selection in which the distribution of queries changes over time, and a subset of a materialized view set is updated to better serve the incoming queries. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Lawrence, M., & Rau-Chaplin, A. (2006). Dynamic view selection for OLAP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4081 LNCS, pp. 33–44). Springer Verlag. https://doi.org/10.1007/11823728_4
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