A data warehouse stores lots of materialized views to provide efficient decision-support or OLAP queries. The view-selection problem addresses the selection of a fittest set of materialized views under the limitation of storage space forms a challenge in data warehouse research. In this paper, we present genetic algorithms to choose materialized views. We also use experiments to demonstrate the power of our approach.
|Number of pages||7|
|State||Published - 1999|
|Event||1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States|
Duration: 6 Jul 1999 → 9 Jul 1999
|Conference||1999 Congress on Evolutionary Computation, CEC 1999|
|Period||6/07/99 → 9/07/99|