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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 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 93 pages, height x width: 235x155 mm, weight: 180 g, 29 Illustrations, color; 3 Illustrations, black and white; XIII, 93 p. 32 illus., 29 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13814
  • Izdošanas datums: 21-Jan-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031239040
  • ISBN-13: 9783031239045
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  • Mīkstie vāki
  • Cena: 51,37 €*
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  • Formāts: Paperback / softback, 93 pages, height x width: 235x155 mm, weight: 180 g, 29 Illustrations, color; 3 Illustrations, black and white; XIII, 93 p. 32 illus., 29 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13814
  • Izdošanas datums: 21-Jan-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031239040
  • ISBN-13: 9783031239045
Citas grāmatas par šo tēmu:
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.
POLY 2022.- Privacy, Security and/or Policy Issues for Heterogeneous
Data.- Ad-hoc Searches on Image Databases.- A Survey of Data Challenges
across a Modernizing Bureaucracy: A New Perspective on Examining Old
Government Problems.- Purpose Scan: A purpose-aware access method.- DMAH
2022.- Enabling Real-world Medicine with Data Lake Federation: a research
perspective.- Towards Assessing Data Bias in Clinical Trials.- Clinical
synthetic data generation to predict and identify risk factors for
cardiovascular diseases.