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Heterogeneous Data Management, Polystores, and Analytics for Healthcare

VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Vijay Gadepally

    1. Massachusetts Institute of Technology, Lexington, USA

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  2. Timothy Mattson

    1. Intel Corporation, Portland, USA

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  3. Michael Stonebraker

    1. Massachusetts Institute of Technology, Cambridge, USA

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  4. Fusheng Wang

    1. Stony Brook University, Stony Brook, USA

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  5. Gang Luo

    1. University of Washington, Seattle, USA

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  6. Yanhui Laing

    1. Google, Mountain View, USA

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  7. Alevtina Dubovitskaya

    1. Lucerne University of Applied Sciences, Rotkreuz, Switzerland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11721)

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

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. POLY 2019: Privacy, Security and/or Policy Issues for Heterogenous Data

    1. Front Matter

      Pages 1-1
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    2. Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations

      • Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao et al.
      Pages 3-23

    3. SchengenDB: A Data Protection Database Proposal

      • Tim Kraska, Michael Stonebraker, Michael Brodie, Sacha Servan-Schreiber, Daniel Weitzner
      Pages 24-38

    4. Position: GDPR Compliance by Construction

      • Malte Schwarzkopf, Eddie Kohler, M. Frans Kaashoek, Robert Morris
      Pages 39-53

    5. From Here to Provtopia

      • Thomas Pasquier, David Eyers, Margo Seltzer
      Pages 54-67

    6. Privacy and Policy in Polystores: A Data Management Research Agenda

      • Joshua A. Kroll, Nitin Kohli, Paul Laskowski
      Pages 68-81

    7. Analyzing GDPR Compliance Through the Lens of Privacy Policy

      • Jayashree Mohan, Melissa Wasserman, Vijay Chidambaram
      Pages 82-95

    8. Privacy Changes Everything

      • Jennie Rogers, Johes Bater, Xi He, Ashwin Machanavajjhala, Madhav Suresh, Xiao Wang
      Pages 96-111

  3. POLY 2019: Building Polystore Systems

    1. Front Matter

      Pages 113-113
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    2. Learning How to Optimize Data Access in Polystores

      • Antonio Maccioni, Riccardo Torlone
      Pages 115-127

    3. Midas: Towards an Interactive Data Catalog

      • Patrick Holl, Kevin Gossling
      Pages 128-138

    4. Evolution Management of Multi-model Data

      • Irena Holubová, Meike Klettke, Uta Störl
      Pages 139-153

    5. WIP - SKOD: A Framework for Situational Knowledge on Demand

      • Servio Palacios, K. M. A. Solaiman, Pelin Angin, Alina Nesen, Bharat Bhargava, Zachary Collins et al.
      Pages 154-166

    6. Development of a Polystore Data Management System for an Evolving Big Scientific Data Archive

      • Manoj Poudel, Rashmi P. Sarode, Shashank Shrestha, Wanming Chu, Subhash Bhalla
      Pages 167-182

  4. DMAH 2019: Database Enabled Biomedical Research

    1. Front Matter

      Pages 183-183
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    2. Patient Centric Data Integration for Improved Diagnosis and Risk Prediction

      • Hanie Samimi, Jelena TeÅ¡ić, Anne Hee Hiong Ngu
      Pages 185-195

    3. An Architecture to Support Real-World Studies that Investigate the Autonomic Nervous System

      • Danielle Groat, Ramkiran Gouripeddi, Randy Madsen, Yu Kuei Lin, Julio C. Facelli
      Pages 196-203

    4. Comparison of Approaches for Querying Chemical Compounds

      • VojtÄ›ch Šípek, Irena Holubová, Martin Svoboda
      Pages 204-221

  5. DMAH 2019: AI for Healthcare

    1. Front Matter

      Pages 223-223
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  1. Heterogeneous Data Management, Polystores, and Analytics for Healthcare

Keywords

About this book

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.

 

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

  • Stony Brook University, Stony Brook, USA

    Fusheng Wang

  • University of Washington, Seattle, USA

    Gang Luo

  • Google, Mountain View, USA

    Yanhui Laing

  • Lucerne University of Applied Sciences, Rotkreuz, Switzerland

    Alevtina Dubovitskaya

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