Heterogeneous Data Management, Polystores, and Analytics for Healthcare: Vldb Workshops, Poly 2020 and Dmah 2020, Virtual Event, August 31 and Septemb, Gadepally Vijay, Mattson Timothy, Stonebraker Michael

Автор: Vijay Gadepally; Timothy Mattson; Michael Stonebra
Название: Heterogeneous Data Management, Polystores, and Analytics for Healthcare
ISBN: 3030141764 ISBN-13(EAN): 9783030141769
Издательство: Springer
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Цена: 6986.00 р.
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Описание: 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.

Автор: Vijay Gadepally; Timothy Mattson; Michael Stonebra
Название: Heterogeneous Data Management, Polystores, and Analytics for Healthcare
ISBN: 3030337510 ISBN-13(EAN): 9783030337513
Издательство: Springer
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Цена: 8104.00 р.
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Описание: This book constitutes the refereed post-conference proceedings for the VLBD conference workshops entitled: Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data (Poly 2019) and the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019), held in Los Angeles, CA, USA, in August 2019, in conjunction with the 45th International Conference on Very Large Data Bases, VLDB 2019. The 20 regular papers presented together with 2 keynote papers were carefully reviewed and selected from 31 initial submissions. The papers are organized in topical sections named:Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data; Building Polystore Systems.DMAH 2019: Database Enabled Biomedical Research; AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data; Blockchain and Privacy Preserving Data Management.