A trainable model to assess the accuracy of probabilistic record linkage

dc.contributorBellatreche, Ladjel
dc.contributorChakravarthy, Sharma
dc.creatorPita, Robespierre
dc.creatorMendon??a, Everton
dc.creatorReis, Sandra
dc.creatorBarreto, Marcos
dc.creatorDenaxas, Spiros
dc.date.accessioned2019-05-22T16:31:20Z
dc.date.available2019-05-22T16:31:20Z
dc.date.issued2017-08-03
dc.identifierPita R., Mendon??a E., Reis S., Barreto M., Denaxas S. (2017) A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage. In: Bellatreche L., Chakravarthy S. (eds) Big Data Analytics and Knowledge Discovery. DaWaK 2017. Lecture Notes in Computer Science, vol 10440. Springer, Cham
dc.identifier978-3-319-64282-6
dc.identifierhttp://repositorio.ufba.br/ri/handle/ri/24738
dc.identifierv.10440
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2718446
dc.description.abstract
dc.languageen
dc.publisherSpringer, Cham
dc.rightsrestrito
dc.sourcehttps://doi.org/10.1007/978-3-319-64283-3_16
dc.subjectData linkage
dc.subjectMachine learning
dc.titleA trainable model to assess the accuracy of probabilistic record linkage
dc.typeCap??tulo de Livro


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