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dc.contributor.authorStantic, Bela
dc.contributor.editorBarbara Catania, Giovanna Guerrini, Jaroslav Pokorny
dc.date.accessioned2017-08-30T23:39:40Z
dc.date.available2017-08-30T23:39:40Z
dc.date.issued2013
dc.date.modified2014-05-30T03:20:15Z
dc.identifier.refurihttp://adbis2013.disi.unige.it/en_US
dc.identifier.doi10.1007/978-3-642-40683-6_3en_US
dc.identifier.urihttp://hdl.handle.net/10072/59671
dc.description.abstractPeriodic events seem to be an intrinsic part of our life, and a way of perceiving reality. There are many application domains where periodic data play a major role. In many of such domains, the huge number of repetitions make the goal of explicitly storing and accessing such data very challenging to the extent of even not being possible, in cases of open ended intervals. In this work, we present a concept to represent periodic data in an implicit way. The representation model we propose captures the notion of periodic granularity provided by the temporal database glossary. We define the algebraic operators, and introduce access algorithms to cope with them and also with temporal range queries, proving that they are correct and complete with respect to the traditional explicit approach. In an experimental evaluation we show the advantages of our approach with respect to traditional explicit approach, in terms of space usage, physical disk I/O's and query response time.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherSpringeren_US
dc.publisher.placeGermanyen_US
dc.publisher.urihttp://adbis2013.disi.unige.it/en_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencenameADBIS 2013en_US
dc.relation.ispartofconferencetitleAdvances in Databases and Information Systems 17th East European Conference, ADBIS 2013 Genoa, Italy, September 1-4, 2013 Proceedingsen_US
dc.relation.ispartofdatefrom2013-09-01
dc.relation.ispartofdateto2013-09-04
dc.relation.ispartoflocationGenoa, Italyen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchData Structuresen_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classifieden_US
dc.subject.fieldofresearchcode080403en_US
dc.subject.fieldofresearchcode080199en_US
dc.titlePeriodic Data, Burden or Convenienceen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
dc.description.versionPost-printen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyright© 2013 Springer-Verlag Berlin Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.en_US
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela


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

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