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020 _a9783030936631
024 7 _a10.1007/978-3-030-93663-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9 .D3
_b2021 EB
245 0 0 _aHeterogeneous Data Management, Polystores, and Analytics for Healthcare :
_bVLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers
_cedited by El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (XII, 183 páginas)
_b10 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aSecurity and Cryptology
_v12921
505 0 _aPrivacy, Security and/or Policy Issues for Heterogenous Data -- Data Virtual Machines: Enabling Data Virtualization -- A Formal Category Theoretical Framework for Multi-Model Data Transformations -- Towards Generic Fine-Grained Transaction Isolation in Polystores -- Data Governance in a Database Operating System (DBOS) -- ACID-V: Towards a new class of DBMSs for Data Sharing -- Polystore Systems and DBMSs: Love Marriage or Marriage of Convenience? -- Pods: Privacy Compliant Scalable Decentralized Data Services -- Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility and Explanation for Machine Learning in Healthcare -- Privacy-preserving Distributed Support Vector Machines -- Benchmarking Multi-Instance Learning for Multivariate Time Series Analysis -- A Cloud-Native NGS Data Processing and Annotation Platform -- Administrative Health Data Representation for Mortality and High Utilization Prediction -- Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.
520 _aThis book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2021, and the 7th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2021, which were held virtually on August 2021. For Poly 2021, 7 full and 2 short papers were accepted from 10 submissions; and for DMAH 2021, 4 full papers together with 2 invited papers were accepted from a total of 7 submissions. The papers were organized in topical sections as follows: distributed information systems in enterprises, enterprise access to data constructed from a variety of programming models, data management, data integration, data curation, privacy, and security innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare.
988 _aSpringer_Computer_2022
650 7 _2embne
_9150569
_aSistemas de gestión de bases de datos
_vCongresos
650 7 _2embne
_9421154
_aInformática médica
_vCongresos
700 1 _aRezig, El Kindi
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGadepally, Vijay
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMattson, Timothy
_eeditor literario
700 1 _aStonebraker, Michael
_eeditor literario
700 1 _aKraska, Tim
_eeditor literario
700 1 _aWang, Fusheng
_eeditor literario
700 1 _aLuo, Gang
_eeditor literario
700 1 _aKong, Jun
_eeditor literario
700 1 _aDubovitskaya, Alevtina
_eeditor literario
773 0 _tSpringer Nature eBook
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-93663-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2022
_dz
_eu
_zSI