Heterogeneous Data Management, Polystores, and Analytics for Healthcare : VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers / edited by El Kindi Rezig, Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya.

Format:

Book

Contributor:

Rezig, El Kindi, Editor.

Gadepally, Vijay, Editor.

Mattson, Timothy., Editor.

Stonebraker, Michael, Editor.

Kraska, Tim., Editor.

Wang, Fusheng, Editor.

Luo, Gang, Editor.

Kong, Jun., Editor.

Dubovitskaya, Alevtina., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Security and cryptology ; SL 4, 12921

Security and Cryptology ; 12921

Language:

English

Subjects (All):

Application software.

Computer and Information Systems Applications.

Local Subjects:

Computer and Information Systems Applications.

Physical Description:

1 online resource (XII, 183 pages) : 10 illustrations

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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 2021, and the 7th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2021, which were held virtually on August 2021. For Poly 2021, 7 full and 2 short papers were accepted from 10 submissions; and for DMAH 2021, 4 full papers together with 2 invited papers were accepted from a total of 7 submissions. The papers were organized in topical sections as follows: distributed information systems in enterprises, enterprise access to data constructed from a variety of programming models, data management, data integration, data curation, privacy, and security innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare.

Contents:

Privacy, Security and/or Policy Issues for Heterogenous Data

Data Virtual Machines: Enabling Data Virtualization

A Formal Category Theoretical Framework for Multi-Model Data Transformations

Towards Generic Fine-Grained Transaction Isolation in Polystores

Data Governance in a Database Operating System (DBOS)

ACID-V: Towards a new class of DBMSs for Data Sharing

Polystore Systems and DBMSs: Love Marriage or Marriage of Convenience?

Pods: Privacy Compliant Scalable Decentralized Data Services

Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility and Explanation for Machine Learning in Healthcare

Privacy-preserving Distributed Support Vector Machines

Benchmarking Multi-Instance Learning for Multivariate Time Series Analysis

A Cloud-Native NGS Data Processing and Annotation Platform

Administrative Health Data Representation for Mortality and High Utilization Prediction

Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.

Other Format:

Printed edition:

ISBN:

978-3-030-93663-1

9783030936631

Access Restriction:

Restricted for use by site license.