Materialized View Selection by Query Clustering in XML Data Warehouses

Simple item page
dc.creatorMahboubi, Hadj
dc.creatorAouiche, Kamel
dc.creatorDarmont, Jérôme
dc.date2008-09-11
dc.date.accessioned2026-07-07T10:02:15Z
dc.date.available2026-07-07T10:02:15Z
dc.descriptionXML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited performances and it is necessary to design strategies to optimize them. In this paper, we propose an automatic strategy for the selection of XML materialized views that exploits a data mining technique, more precisely the clustering of the query workload. To validate our strategy, we implemented an XML warehouse modeled along the XCube specifications. We executed a workload of XQuery decision-support queries on this warehouse, with and without using our strategy. Our experimental results demonstrate its efficiency, even when queries are complex.
dc.identifierhttps://arxiv.org/abs/0809.1963
dc.identifierhttp://arxiv.org/abs/0809.1963
dc.identifier4th International Multiconference on Computer Science and Information Technology (CSIT 06), Amman : Jordanie (2006)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/168905
dc.subjectDatabases
dc.titleMaterialized View Selection by Query Clustering in XML Data Warehouses
dc.typetext

Files

Collections

arXiv