Clustering-Based Materialized View Selection in Data Warehouses
Clustering-Based Materialized View Selection in Data Warehouses
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be cost-driven and influenced by the workload experienced by the system. In this paper, we propose a framework for materialized view selection that exploits a data mining technique (clustering), in order to determine clusters o...
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Clustering-Based Materialized View Selection in Data Warehouses
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TN_cdi_proquest_journals_2080016523
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2080016523
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E-ISSN
2331-8422
