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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12633)

Part of the book sub series: Security and Cryptology (LNSC)

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Table of contents (17 papers)

  1. Poly 2020: Privacy, Security and/or Policy Issues for Heterogenous Data

  2. DMAH 2020: COVID-19 Data Analytics and Visualization

  3. DMAH 2020: Deep Learning based Biomedical Data Analytics

  4. DMAH 2020: NLP Based Learning from Unstructured Data

  5. DMAH 2020: Biomedical Data Modelling and Prediction

Other volumes

  1. Heterogeneous Data Management, Polystores, and Analytics for Healthcare

Keywords

About this book

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 2020, and the 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, which were held virtually on August 31 and September 4, 2020.

For Poly 2020, 4 full and 3 short papers were accepted from 10 submissions; and for DMAH 2020, 7 full and 2 short papers were accepted from a total of 15 submissions. The papers were organized in topical sections as follows: Privacy, Security and/or Policy Issues for Heterogenous Data; COVID-19 Data Analytics and Visualization; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction.

Editors and Affiliations

  • Massachusetts Institute of Technology, Lexington, USA

    Vijay Gadepally

  • Intel Corporation, Portland, USA

    Timothy Mattson

  • Massachusetts Institute of Technology, Cambridge, USA

    Michael Stonebraker, Tim Kraska

  • Stony Brook University, Stony Brook, USA

    Fusheng Wang

  • University of Washington, Seattle, USA

    Gang Luo

  • Georgia State University, Atlanta, USA

    Jun Kong

  • Lucerne Unviersity of Applied Sciences, Rotkreuz, Switzerland

    Alevtina Dubovitskaya

Bibliographic Information

  • Book Title: Heterogeneous Data Management, Polystores, and Analytics for Healthcare

  • Book Subtitle: VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers

  • Editors: Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-71055-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-71054-5Published: 04 March 2021

  • eBook ISBN: 978-3-030-71055-2Published: 03 March 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 233

  • Number of Illustrations: 13 b/w illustrations, 71 illustrations in colour

  • Topics: Computer Applications, Database Management, Machine Learning

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