Abstract
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.
Original language | English |
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Pages | 2221-2227 |
Number of pages | 7 |
DOIs | |
State | Published - 1999 |
Event | 1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States Duration: 6 Jul 1999 → 9 Jul 1999 |
Conference
Conference | 1999 Congress on Evolutionary Computation, CEC 1999 |
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Country/Territory | United States |
City | Washington, DC |
Period | 6/07/99 → 9/07/99 |