Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB 2018 Workshops, Poly and DMAH, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers

Author:   Vijay Gadepally ,  Timothy Mattson ,  Michael Stonebraker ,  Fusheng Wang
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11470
ISBN:  

9783030141769


Pages:   175
Publication Date:   21 February 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB 2018 Workshops, Poly and DMAH, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers


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Author:   Vijay Gadepally ,  Timothy Mattson ,  Michael Stonebraker ,  Fusheng Wang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11470
Weight:   0.454kg
ISBN:  

9783030141769


ISBN 10:   3030141764
Pages:   175
Publication Date:   21 February 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

An Improved BigDAWG Architecture.- Multi-Model Database Management Systems - a Look Forward.- Progressive Interactions Between Data Sources.- TDM: A Tensor Data Model for Logical Data Independence in Polystore Systems.- Sketching data structures for massive graph problems.- Managing Structurally Heterogeneous Databases in Software Product Lines.- PDSPTF: Polystore Database System for Scalability and Access to PTF Time-domain Astronomy Data Archives.- API Federation in the BigDAWG Polystore.- Augmented Therapy with Online Support Groups.- RHCS - A Clinical Recommendation System for Geriatric Patients.- Implementation of a Medical Coding Support System by Combining Approaches: NLP and Machine Learning.- Building a Research-Quality Copy Number Variation Data Repository for Translational Research.- Data-Driven Genomic Computing: Making Sense of the Signals from the Genome.- DEAME - Differential Expression Analysis Made Easy.

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