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 | ISBN 9783030710552

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

herausgegeben von Vijay Gadepally und weiteren
Mitwirkende
Herausgegeben vonVijay Gadepally
Herausgegeben vonTimothy Mattson
Herausgegeben vonMichael Stonebraker
Herausgegeben vonTim Kraska
Herausgegeben vonFusheng Wang
Herausgegeben vonGang Luo
Herausgegeben vonJun Kong
Herausgegeben vonAlevtina Dubovitskaya
Buchcover Heterogeneous Data Management, Polystores, and Analytics for Healthcare  | EAN 9783030710552 | ISBN 3-030-71055-6 | ISBN 978-3-030-71055-2

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

herausgegeben von Vijay Gadepally und weiteren
Mitwirkende
Herausgegeben vonVijay Gadepally
Herausgegeben vonTimothy Mattson
Herausgegeben vonMichael Stonebraker
Herausgegeben vonTim Kraska
Herausgegeben vonFusheng Wang
Herausgegeben vonGang Luo
Herausgegeben vonJun Kong
Herausgegeben vonAlevtina Dubovitskaya

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.