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A framework for distributed cleaning of data streams.

dc.contributor.authorGill, Saul
dc.contributor.authorLee, Brian
dc.date.accessioned2019-11-26T14:40:00Z
dc.date.available2019-11-26T14:40:00Z
dc.date.copyright2015
dc.date.issued2015
dc.identifier.citationGill, S., Lee, B. (2015).A framework for distributed cleaning of data streams. Procedia Computer Science. 5: 1186-1191. https://doi.org/10.1016/j.procs.2015.05.156. The 2nd International Workshop on Machine Learning and Data Mining for Sensor Networkds (MLDM0SN 2015).en_US
dc.identifier.issn1877-0509
dc.identifier.otherArticles - Software Research Institute AITen_US
dc.identifier.urihttp://research.thea.ie/handle/20.500.12065/2908
dc.description.abstractVast and ever increasing quantities of data are produced by sensors in the Internet of Things (IoT). The quality of this data can be very variable due to problems with sensors, incorrect calibration etc. Data quality can be greatly enhanced by cleaning the data before it reaches its end user. This paper reports on the construction of a distributed cleaning system (DCS) to clean data streams in real-time for an environmental case-study. A combination of declarative and statistical model based cleaning methods are applied and initial results are reported.en_US
dc.formatPDFen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofProcedia Computer Science.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ie/*
dc.subjectInternet of thingsen_US
dc.subjectData stream cleaningen_US
dc.subjectModel based cleaningen_US
dc.subjectRegressionen_US
dc.subjectDeclarative cleaningen_US
dc.subjectDistributed cleaningen_US
dc.subjectSensor data modellingen_US
dc.titleA framework for distributed cleaning of data streams.en_US
dc.typeArticleen_US
dc.description.peerreviewyesen_US
dc.identifier.doidoi.org/10.1016/j.procs.2015.05.156.
dc.identifier.orcidhttps://orcid.org/0000-0002-7749-2328
dc.identifier.orcidhttps://orcid.org/0000-0002-8475-4074
dc.rights.accessOpen Accessen_US
dc.subject.departmentSoftware Research Instituteen_US


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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland