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 7
th 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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
10
10 s/w Abbildungen
XII, 183 p. 10 illus.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 11 mm
Gewicht
ISBN-13
978-3-030-93662-4 (9783030936624)
DOI
10.1007/978-3-030-93663-1
Schweitzer Klassifikation
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.
