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dc.contributor.authorDehne, Franken_US
dc.contributor.authorKorn, Othmaren_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.editorM.H. Hamzaen_US
dc.date.accessioned2017-04-24T08:20:27Z
dc.date.available2017-04-24T08:20:27Z
dc.date.issued2006en_US
dc.date.modified2007-12-10T06:18:15Z
dc.identifier.doihttp://www.iasted.org/conferences/2006/Innsbruck/dba-reg.htmen_AU
dc.identifier.urihttp://hdl.handle.net/10072/12185
dc.description.abstractIn order to facilitate query processing, the information contained in data warehouses is typically stored as a set of materialized views. Deciding which views to materialize presents a considerable challenge. The task is to select from a very large search space a set of views that minimizes view maintenance and query processing costs. Heuristic methods have been employed to find near optimal solutions and recent genetic algorithms have significantly improved the quality of the obtained solutions. In this paper we introduce a new approach for materialized view selection that is based on Simulated Annealing in conjunction with the use of a Multiple View Processing Plan (MVPP). Our experiments show that our new method provides a further significant improvement in the quality of the obtained set of materialized views, leading to a further significant improvement in query processing time and view maintenance costs for data warehousing systems.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent23889 bytes
dc.format.extent259519 bytes
dc.format.mimetypetext/plain
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherACTA Pressen_US
dc.publisher.placeAnahein, Calgary, Zurichen_US
dc.publisher.urihttp://www.actapress.com/Content_of_Proceeding.aspx?proceedingID=341en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameThe IASTED International Conference on Databases and Applications - DBA 2006en_US
dc.relation.ispartofconferencetitleProceedings of the IASTED International Conference on Databases and Applications 2006en_US
dc.relation.ispartofdatefrom2006-02-14en_US
dc.relation.ispartofdateto2006-02-16en_US
dc.relation.ispartoflocationInnsbrucken_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchHISTORY AND ARCHAEOLOGYen_US
dc.subject.fieldofresearchcode210000en_US
dc.titleSimulated Annealing for Materialized View Selection in Data Warehousing Environmenten_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2006 IASTED and ACTA Press. This is the author-manuscript version of this paper. Use hypertext link for access to the publisher's website.en_AU
gro.date.issued2006
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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