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Heterogeneous Data Management, Polystores, and Analytics for Healthcare = VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Heterogeneous Data Management, Polystores, and Analytics for Healthcare/ edited by El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya.
其他題名:	VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers /
其他作者:	Dubovitskaya, Alevtina.
面頁冊數:	XII, 183 p. 10 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Applications. -
電子資源:	https://doi.org/10.1007/978-3-030-93663-1
ISBN:	9783030936631

Heterogeneous Data Management, Polystores, and Analytics for Healthcare = VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers /
Heterogeneous Data Management, Polystores, and Analytics for HealthcareVLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers /[electronic resource] :edited by El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya. - 1st ed. 2021. - XII, 183 p. 10 illus.online resource. - Security and Cryptology ;12921. - Security and Cryptology ;9241.

Privacy, 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.

This 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.

ISBN: 9783030936631

Standard No.: 10.1007/978-3-030-93663-1doiSubjects--Topical Terms:

669785
Computer Applications.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 004

Heterogeneous Data Management, Polystores, and Analytics for Healthcare = VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers /
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