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In view of some deficiencies which traditional static materialized view selection algorithms have, the paper brings forward an efficient materialized view selection adjustment algorithm which could overcome some deficiencies such as large storage, long running time and different querying probability. Besides, the algorithm can be carried out simultaneously from source data to data warehouse immediately...
Because static materialized views selection algorithm has many shortcomings, such as larger search space, higher time consumption and excluding query probability and distribution, and the changes in data sources can't be reflected in datawarehouse immediately. In view of this, this paper implements dynamic adjustment for static materialized views selection algorithm according to CVLC and IGA, that...
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