Fr. 76.00

Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers

Inglese · Tascabile

Spedizione di solito entro 1 a 2 settimane (il titolo viene stampato sull'ordine)

Descrizione

Ulteriori informazioni

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.

Sommario

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.

 

Dettagli sul prodotto

Con la collaborazione di Vijay Gadepally (Editore), Jun Kong (Editore), Tim Kraska (Editore), Gang Luo (Editore), Timothy Mattson (Editore), Timothy Mattson et al (Editore), El Kindi Rezig (Editore), Michael Stonebraker (Editore), Dejun Teng (Editore), Fusheng Wang (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 21.01.2023
 
EAN 9783031239045
ISBN 978-3-0-3123904-5
Pagine 93
Dimensioni 155 mm x 6 mm x 235 mm
Illustrazioni XIII, 93 p. 32 illus., 29 illus. in color.
Serie Lecture Notes in Computer Science
Categoria Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo

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