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dc.contributor.convenorJaap Suermondten_AU
dc.contributor.authorSattar, Abdulen_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.authorTerenziani, Paoloen_US
dc.contributor.editorJaap Suermondten_US
dc.date.accessioned2017-04-04T14:44:00Z
dc.date.available2017-04-04T14:44:00Z
dc.date.issued2008en_US
dc.date.modified2009-07-10T07:34:15Z
dc.identifier.refurihttp://symposium2008.amia.org/en_AU
dc.identifier.doihttp://www.amia.org/en_AU
dc.identifier.urihttp://hdl.handle.net/10072/22568
dc.description.abstractIn Medical Informatics, there is an increasing awareness that temporal information plays a crucial role, so that suitable database approaches are needed to store and support it. Specifically, most clinical data are intrinsically temporal, and a relevant part of them are now-relative (i.e., they are valid at the current time). Even if previous studies indicate that the treatment of now-relative data has a crucial impact on efficiency, current approaches have several limitations. In this paper we propose a novel approach, which is based on a new representation of 'now', and on query transformations. We also experimentally demonstrate that our approach outperforms its best competitors in the literature to the extent of a factor of more than ten, both in number of disk accesses and of CPU usage.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherAmerican Medical Informatics Associationen_US
dc.publisher.placeBethesda, MD, USAen_US
dc.publisher.urihttp://symposium2008.amia.org/en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameAMIA 2008en_US
dc.relation.ispartofconferencetitleAMIA 2008 Annual SymposiumBiomedical and Health InformaticsFrom Foundations to Applications to Policyen_US
dc.relation.ispartofdatefrom2008-11-08en_US
dc.relation.ispartofdateto2008-11-12en_US
dc.relation.ispartoflocationWashington, DC USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchHISTORY AND ARCHAEOLOGYen_US
dc.subject.fieldofresearchcode210000en_US
dc.titleCoping efficiently with now-relative medical dataen_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.date.issued2008
gro.hasfulltextNo Full Text


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

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