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Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers (Paperback, 1st ed. 2022) Loot Price: R1,539
Discovery Miles 15 390
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual...

Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers (Paperback, 1st ed. 2022)

El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang

Series: Lecture Notes in Computer Science, 13814

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Loot Price R1,539 Discovery Miles 15 390 | Repayment Terms: R144 pm x 12*

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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 2022, and the 8th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2022, which were held virtually on September 9, 2022. The proceedings include 3 full papers each from Poly 2022 and from DMAH 2022. DMAH deals with innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic - data, and data from social media and the Web. Poly is focusing on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 13814
Release date: 2023
First published: 2022
Editors: El Kindi Rezig • Vijay Gadepally • Timothy Mattson • Michael Stonebraker • Tim Kraska • Jun Kong • Gang Luo • Dejun Teng • Fusheng Wang
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 94
Edition: 1st ed. 2022
ISBN-13: 978-3-03-123904-5
Categories: Books > Computing & IT > General theory of computing > General
LSN: 3-03-123904-0
Barcode: 9783031239045

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