Optimizing multiple dimensional queries simultaneously in multidimensional databases
Some significant progress related to multidimensional data analysis has been achieved in the past few years, including the design of fast algorithms for computing datacubes, selecting some precomputed group-bys to materialize, and designing efficient storage structures for multidimensional data. However, little work has been carried out on multidimensional query optimization issues. Particularly the response time (or evaluation cost) for answering several related dimensional queries...[Show more]
|Collections||ANU Research Publications|
|Source:||VLDB Journal, The|
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