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dc.contributor.convenorM.H .Hamzaen_US
dc.contributor.authorAlsaleh, Slahen_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.editorM.H. Hamzaen_US
dc.date.accessioned2017-05-03T11:26:24Z
dc.date.available2017-05-03T11:26:24Z
dc.date.issued2009en_US
dc.identifier.refurihttp://www.iasted.org/conferences/ipc-639.htmlen_US
dc.identifier.urihttp://hdl.handle.net/10072/31876
dc.description.abstractRadio Frequency Identification (RFID) technology gains momentum and every day we witness more and more application domains. These systems however generate a huge volume of data and management of such vast volume of data is a challenge. It is even bigger challenge to extract patterns and relations, which represent a knowledge that is implicitly stored in such spatio-temporal data. This knowledge cannot be obtained using a simple queries. While a significant work has been devoted toward general data mining a limited work was directed toward mining of spatio-temporal RFID data. In this work, we present method which efficiently cluster vast volume of RFID data by applying K-means method only to fraction of whole data covering all locations. In empirical study we show that our method is efficient and at the same time has a property of high accuracy.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent318990 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherACTA Pressen_US
dc.publisher.placeCalgary, Alberta, Canadaen_US
dc.publisher.urihttp://www.iasted.org/conferences/pastconferences.htmlen_US
dc.relation.ispartofstudentpublicationYen_US
dc.relation.ispartofconferencenameIASTED International Conference on Artificial Intelligence and Applications (AIA 2009)en_US
dc.relation.ispartofconferencetitleProceedings of the IASTED International Conference on Artificial Intelligence and Applicationsen_US
dc.relation.ispartofdatefrom2009-02-16en_US
dc.relation.ispartofdateto2009-02-18en_US
dc.relation.ispartoflocationInnsbruck, Austriaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchDatabase Managementen_US
dc.subject.fieldofresearchcode080604en_US
dc.titleEfficient and Accurate Algorithm for Mining RFID 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.rights.copyrightCopyright 2009 IASTED and ACTA Press. 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.date.issued2015-06-01T23:38:52Z
gro.hasfulltextFull Text


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