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dc.contributor.authorMcLachlan, Sen_US
dc.contributor.authorDube, Ken_US
dc.contributor.authorGallagher, Ten_US
dc.contributor.authorSimmonds, JAen_US
dc.contributor.authorFenton, Nen_US
dc.date.accessioned2019-02-01T11:47:26Z
dc.date.issued2019en_US
dc.date.submitted2018-06-18T12:39:24.666Z
dc.identifier.isbn978-3-030-29195-2en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/55089
dc.format.extent497 - 523en_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Communications in Computer and Information Science following peer review.
dc.subjectSynthetic data generationen_US
dc.subjectKnowledge discoveryen_US
dc.titleRealistic Synthetic Data Generation: The ATEN Frameworken_US
dc.typeBook chapter
dc.rights.holder© Springer Nature 2019
dc.identifier.doi10.1007/978-3-030-29196-9_25en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000508120100025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume1024en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderPAMBAYESIAN: PAtient Managed decision-support using Bayesian networks::Engineering and Physical Sciences Research Councilen_US


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