Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers

This book constitutes the refereed post-conference proceedings for the VLBD conference workshops entitled: Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data (Poly 2019) and the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019), held in Los Angeles, CA, USA, in August 2019, in conjunction with the 45th International Conference on Very Large Data Bases, VLDB 2019.
The 20 regular papers presented together with 2 keynote papers were carefully reviewed and selected from 31 initial submissions.
The papers are organized in topical sections named:
Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data; Building Polystore Systems.
DMAH 2019: Database Enabled Biomedical Research; AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data; Blockchain and Privacy Preserving Data Management.

 

List of contents

Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data.- Building Polystore Systems.- DMAH 2019: Database Enabled Biomedical Research.- AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data.- Blockchain and Privacy-preserving Data Management.

Product details

• Assisted by: Alevtina Dubovitskaya (Editor), Vijay Gadepally (Editor), Yanhui Laing (Editor), Gang Luo (Editor), Timoth Mattson (Editor), Timothy Mattson (Editor), Timoth Mattspm (Editor), Timothy Mattspm (Editor), Michael Stonebraker (Editor), Michael Stonebraker et al (Editor), Fusheng Wang (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030337513
• ISBN: 978-3-0-3033751-3
• No. of pages: 294
• Dimensions: 156 mm x 19 mm x 236 mm
• Weight: 470 g
• Illustrations: XI, 294 p. 166 illus., 45 illus. in color.
• Series: Lecture Notes in Computer Science; Security and Cryptology
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software