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dc.contributor.authorGiacometti, Arnaud
HAL ID: 3762
dc.contributor.authorMarcel, Patrick
HAL ID: 4561
ORCID: 0000-0003-3171-1174
dc.contributor.authorNegre, Elsa
dc.date.accessioned2011-10-11T13:11:23Z
dc.date.available2011-10-11T13:11:23Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/7168
dc.language.isoenen
dc.subjectOLAP queriesen
dc.subjectInteractive analysis of datacubeen
dc.subject.ddc005en
dc.titleRecommending Multidimensional Queriesen
dc.typeCommunication / Conférence
dc.description.abstractenInteractive analysis of datacube, in which a user navigates a cube by launching a sequence of queries is often tedious since the user may have no idea of what the forthcoming query should be in his current analysis. To better support this process we propose in this paper to apply a Collaborative Work approach that leverages former explorations of the cube to recommend OLAP queries. The system that we have developed adapts Approximate String Matching, a technique popular in Information Retrieval, to match the current analysis with the former explorations and help suggesting a query to the user. Our approach has been implemented with the open source Mondrian OLAP server to recommend MDX queries and we have carried out some preliminary experiments that show its efficiency for generating effective query recommendations.en
dc.identifier.citationpages453-466en
dc.relation.ispartofseriestitleLecture Notes in Computer Science
dc.relation.ispartofseriesnumber5691
dc.relation.ispartoftitleData Warehousing and Knowledge Discovery 11th International Conference, DaWaK 2009 Linz, Austria, August 31–September 2, 2009 Proceedingsen
dc.relation.ispartofeditorPedersen, Torben B
dc.relation.ispartofeditorMohania, Mukesh K
dc.relation.ispartofeditorTjoa, A Min
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpublcityBerlinen
dc.relation.ispartofdate2009
dc.relation.ispartofpages480en
dc.relation.ispartofurlhttp://dx.doi.org/10.1007/978-3-642-03730-6en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn978-3-642-03729-0en
dc.relation.conftitle11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009)en
dc.relation.confdate2009-08
dc.relation.confcityLinzen
dc.relation.confcountryAutricheen
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-03730-6_36


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