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dc.contributor.authorEtuk, A.
dc.contributor.authorNorman, T. J.
dc.contributor.authorOren, N.
dc.contributor.authorŞensoy, Murat
dc.date.accessioned2016-02-15T07:33:15Z
dc.date.available2016-02-15T07:33:15Z
dc.date.issued2015
dc.identifier.issn15488403
dc.identifier.urihttp://hdl.handle.net/10679/2156
dc.identifier.urihttp://dl.acm.org/citation.cfm?id=2773447
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractWe present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost.
dc.description.sponsorshipPetroleum Technology Development Fund (PTDF) ; Overseas Scholarship Scheme (OSS) ; U.S. Army Research Laboratory ; U.K. Ministry of Defence
dc.language.isoengen_US
dc.publisherACM
dc.relation.ispartofInternational Conference on Autonomous Agents and Multiagent Systems
dc.rightsrestrictedAccess
dc.titleStrategies for truth discovery under resource constraintsen_US
dc.typeConference paperen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin Unversity
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.volume3
dc.identifier.startpage1807
dc.identifier.endpage1808
dc.subject.keywordsTrust
dc.subject.keywordsTruth discovery
dc.subject.keywordsDiversity
dc.subject.keywordsSampling
dc.identifier.scopusSCOPUS:2-s2.0-84944678545
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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