Gadepally Heterogeneous Data Management, Polystores, and Analytics for Healthcare

Heterogeneous Data Management, Polystores, and Analytics for Healthcare

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

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Beschreibung

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.


Autor*in

Vijay Gadepally

Themen in »Heterogeneous Data Management, Polystores, and Analytics for Healthcare«

biomedical informatics computer networks computer systems computer vision COVID-19 pandemic data mining databases deep learning GDPR image analysis image processing machine learning network protocols neural networks polystores

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Details

ISBN: 9783030710552
Verlag: Springer International Publishing
Erscheinung: 03.03.2021

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