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dc.contributor.authorOuyang, Robin Wentao
dc.contributor.authorSrivastava, Mani
dc.contributor.authorToniolo, Alice
dc.contributor.authorNorman, Timothy J.
dc.date.accessioned2016-04-18T11:00:12Z
dc.date.available2016-04-18T11:00:12Z
dc.date.issued2016-04-01
dc.identifier.citationOuyang , R W , Srivastava , M , Toniolo , A & Norman , T J 2016 , ' Truth Discovery in Crowdsourced Detection of Spatial Events ' , IEEE Transactions on Knowledge and Data Engineering , vol. 28 , no. 4 , pp. 1047-1060 . https://doi.org/10.1109/TKDE.2015.2504928en
dc.identifier.issn1041-4347
dc.identifier.otherPURE: 60661535
dc.identifier.otherPURE UUID: 49c38fba-6879-4fd5-8199-b37835d4544e
dc.identifier.otherScopus: 84963767701
dc.identifier.urihttp://hdl.handle.net/2164/5874
dc.descriptionACKNOWLEDGMENTS This research is based upon work supported in part by the US ARL and UK Ministry of Defense under Agreement Number W911NF-06-3-0001, and by the NSF under award CNS-1213140. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views or represent the official policies of the NSF, the US ARL, the US Government, the UK Ministry of Defense or the UK Government. The US and UK Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.en
dc.format.extent14en
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineeringen
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Final published version available at DOI: 10.1109/TKDE.2015.2504928en
dc.subjectMobile crowdsourcingen
dc.subjecttruth discoveryen
dc.subjectprobabilistic graphical modelsen
dc.subjectT Technologyen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccTen
dc.subject.lccQA75en
dc.titleTruth Discovery in Crowdsourced Detection of Spatial Eventsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen, Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen, dot.rural Digital Economy Huben
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/TKDE.2015.2504928


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