Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/38343

TitleIntegrating usage analysis on cube view selection – An alternative method
Author(s)Rocha, Daniel
Belo, O.
KeywordsData Warehousing Systems
OLAP
Data Cubes Selection Algorithms
Markov Chains
Issue date2015
PublisherInderscience Enterprises Ltd.
JournalInternational Journal of Decision Support Systems
Abstract(s)One of the best ways to make an effective selection of data cube views is based on monitoring multidimensional queries during a relevant number of OLAP sessions. This allows to understand how and when a data cube is explored, collecting and analysing the views that decision agents use to consult. This is very important, because it deals directly with the optimisation of resources, namely the ones related to storage capacity and query processing time. Based on this, in this paper, we propose a new view selection method – M3 – for cubes, based on the analysis of OLAP usage sessions. M3 operates on specialised information collected from multidimensional queries launched over one or more data cubes. The aim was to categorise OLAP usage and ensure that views to be materialised will be the ones corresponding to the most widely used and consulted by decision-makers, for a specific period of time.
TypeArticle
URIhttp://hdl.handle.net/1822/38343
ISSN2050-6988
e-ISSN2050-6996
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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