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Truth Discovery in Crowdsourced Detection of Spatial Events

dc.contributor.authorOuyang, Robin Wentao
dc.contributor.authorSrivastava, Mani
dc.contributor.authorToniolo, Alice
dc.contributor.authorNorman, Timothy J.
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.dot.rural Digital Economy Huben
dc.date.accessioned2016-04-18T11:00:12Z
dc.date.available2016-04-18T11:00:12Z
dc.date.issued2016-04-01
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.description.statusPeer revieweden
dc.format.extent14
dc.format.extent767691
dc.identifier60661535
dc.identifier49c38fba-6879-4fd5-8199-b37835d4544e
dc.identifier84963767701
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.doi10.1109/TKDE.2015.2504928
dc.identifier.iss4en
dc.identifier.issn1041-4347
dc.identifier.urihttp://hdl.handle.net/2164/5874
dc.identifier.vol28en
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineeringen
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

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