Heterogeneous Data Management, Polystores, and Analytics for Healthcare VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers / [electronic resource] : edited by El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang. - 1st ed. 2022. - XIII, 93 p. 32 illus., 29 illus. in color. online resource. - Lecture Notes in Computer Science, 13814 1611-3349 ; . - Lecture Notes in Computer Science, 13814 .

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. .

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.

9783031239052

10.1007/978-3-031-23905-2 doi


Application software.
Computer and Information Systems Applications.

QA76.76.A65

005.3