Show simple item record

dc.contributor.authorTeh, Y. W.
dc.date.accessioned2007-10-04T12:37:07Z
dc.date.available2007-10-04T12:37:07Z
dc.date.issued2004
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/3637
dc.description.abstractWith the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important factors to be considered to improve the response time of a query. The adoption of data mining techniques in the physical design of data warehouses has been shown to be useful in practice.
dc.format.extent51-66
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing. 2004 Vol. 11 Núm. 2
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherData mining techniques
dc.subject.otherData warehouses
dc.titleData mining techniques using decision tree model in materialised projection and selection view
dc.typeArticle
dc.subject.lemacAnàlisi multivariable
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.rights.accessOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain