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Parallel and Streaming Truth Discovery in Large-Scale Quantitative Crowdsourcing

dc.contributor.authorOuyang, Robin Wentao
dc.contributor.authorKaplan, Lance
dc.contributor.authorToniolo, Alice
dc.contributor.authorSrivastava, Mani
dc.contributor.authorNorman, Timothy J.
dc.date.accessioned2016-09-27T12:00:02Z
dc.date.available2016-09-27T12:00:02Z
dc.date.issued2016-10-01
dc.identifier60661399
dc.identifier80c4f978-2a67-4d92-81a6-308917ec9c12
dc.identifier84987896386
dc.identifier.citationOuyang , R W , Kaplan , L , Toniolo , A , Srivastava , M & Norman , T J 2016 , ' Parallel and Streaming Truth Discovery in Large-Scale Quantitative Crowdsourcing ' , IEEE Transactions on Parallel and Distributed Systems , vol. 27 , no. 10 , pp. 2984-2997 . https://doi.org/10.1109/TPDS.2016.2515092en
dc.identifier.issn1045-9219
dc.identifier.urihttp://hdl.handle.net/2164/7521
dc.descriptionACKNOWLEDGMENTS This research is based upon work supported in part by the U.S. ARL and U.K. 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 U.S. ARL, the U.S. Government, the U.K. Ministry of Defense or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon. This work was done when R. W. Ouyang was a postdoc at the University of California, Los Angeles, CA.en
dc.format.extent14
dc.format.extent879650
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Parallel and Distributed Systemsen
dc.subjectCrowdsourcingen
dc.subjecttruth discoveryen
dc.subjectquantitative tasken
dc.subjectbig dataen
dc.subjectparallel algorithmen
dc.subjectstreaming algorithmen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectGeneral Computer Scienceen
dc.subject.lccQA75en
dc.titleParallel and Streaming Truth Discovery in Large-Scale Quantitative Crowdsourcingen
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.identifier.doi10.1109/TPDS.2016.2515092


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