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dc.contributor.authorDarcy, Peter
dc.contributor.authorTucker, Steven
dc.contributor.authorStantic, Bela
dc.date.accessioned2017-05-03T11:26:48Z
dc.date.available2017-05-03T11:26:48Z
dc.date.issued2013
dc.date.modified2014-04-14T23:23:51Z
dc.identifier.issn21616825
dc.identifier.doi10.4236/ait.2013.32004
dc.identifier.urihttp://hdl.handle.net/10072/58357
dc.description.abstractRadio Frequency Identification (RFID) is wireless technology that has been designed to automatically identify tagged objects using a reader. Several applications of this technology have been introduced in past literature such as pet identi-fication and luggage tracking which have increased the efficiency and effectiveness of each environment into which it was integrated. However, due to the ambiguous nature of the captured information with the existence of missing, wrong and duplicate readings, the wide-scale adoption of the architecture is limited to commercial sectors where the integrity of the observations can tolerate ambiguity. In this work, we propose an application of RFID to take the reporting of class attendance and to integrate a predictive classifier to extract high level meaningful information that can be used in diverse areas such as scheduling and low student retention. We conclude by providing an analysis of the core strengths and opportunities that exist for this concept and how we might extend it in future research.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent395882 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherScientific Research
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom27
dc.relation.ispartofpageto33
dc.relation.ispartofissue2
dc.relation.ispartofjournalAdvances in Internet of Things
dc.relation.ispartofvolume3
dc.rights.retentionY
dc.subject.fieldofresearchPattern Recognition and Data Mining
dc.subject.fieldofresearchData Structures
dc.subject.fieldofresearchcode080109
dc.subject.fieldofresearchcode080403
dc.titleIntegrating RFID Technology with Intelligent Classifiers for Meaningful Prediction Knowledge
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/3.0/
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2013 The authors and SciRes. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorDarcy, Peter J.
gro.griffith.authorTucker, Steven P.


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