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dc.contributor.authorDarcy, Peter
dc.contributor.authorStantic, Bela
dc.contributor.authorSattar, Abdul
dc.date.accessioned2017-05-03T11:26:39Z
dc.date.available2017-05-03T11:26:39Z
dc.date.issued2012
dc.date.modified2014-08-28T05:05:45Z
dc.identifier.issn1617-4909
dc.identifier.doi10.1007/s00779-011-0397-x
dc.identifier.urihttp://hdl.handle.net/10072/45464
dc.description.abstractRecently, passive Radio Frequency Identification (RFID) systems have received an increased amount of attention as researchers have worked to implement a stable and reliable system. Unfortunately, despite vast improvements in the quality of RFID technology, a significant amount of erroneous data is still captured in the system. Currently, the problems associated with RFID have been addressed by cleaning algorithms to enhance the data quality. In this paper, we present X-CleLo, a means to intelligently clean and transform the dirty data into highlevel events using Clausal Defeasible Logic. The extensive experimental study we have conducted has shown that the X-CleLo method has several advantages over currently utilised cleaning techniques and achieves a higher cleaning and event discovery rate.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1085554 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom259
dc.relation.ispartofpageto269
dc.relation.ispartofissue3
dc.relation.ispartofjournalPersonal and Ubiquitous Computing
dc.relation.ispartofvolume16
dc.rights.retentionY
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchData engineering and data science
dc.subject.fieldofresearchDistributed computing and systems software
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchDesign
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode460299
dc.subject.fieldofresearchcode460501
dc.subject.fieldofresearchcode4606
dc.subject.fieldofresearchcode4609
dc.subject.fieldofresearchcode3303
dc.subject.fieldofresearchcode46
dc.titleX-CleLo: intelligent deterministic RFID data and event transformer
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2011 Springer London. This is an electronic version of an article published in Personal and Ubiquitous Computing, March 2012, Volume 16, Issue 3, pp 259-269. Personal and Ubiquitous Computing is available online at: http://www.springerlink.com/ with the open URL of your article.
gro.date.issued2012
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorSattar, Abdul


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