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dc.contributor.authorMa, Shenglan
dc.contributor.authorWang, Hao
dc.contributor.authorXu, Botong
dc.contributor.authorXiao, Hong
dc.contributor.authorXie, Fangkai
dc.contributor.authorDai, Hong-Ning
dc.contributor.authorTao, Ran
dc.contributor.authorYi, Ruihua
dc.contributor.authorWang, Tongsen
dc.date.accessioned2022-03-30T12:07:56Z
dc.date.available2022-03-30T12:07:56Z
dc.date.created2019-01-17T18:19:27Z
dc.date.issued2018
dc.identifier.citation2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovationen_US
dc.identifier.isbn978-1-5386-9380-3
dc.identifier.urihttps://hdl.handle.net/11250/2988599
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovations
dc.titleBanking Comprehensive Risk Management System Based on Big Data Architecture of Hybrid Processing Engines and Databasesen_US
dc.typeChapteren_US
dc.description.versionsubmittedVersionen_US
dc.rights.holderThis preprint version of the article will not be available in NTNU Openen_US
dc.source.pagenumber1844-1851en_US
dc.identifier.doi10.1109/SmartWorld.2018.00310
dc.identifier.cristin1659753
cristin.unitcode194,63,55,0
cristin.unitnameInstitutt for IKT og realfag
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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