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Heterogeneous Data Management, Polystores, and Analytics for Healthcare, Vijay Gadepally; Timothy Mattson; Michael Stonebra


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Цена: 6986.00р.
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Автор: Vijay Gadepally; Timothy Mattson; Michael Stonebra
Название:  Heterogeneous Data Management, Polystores, and Analytics for Healthcare
ISBN: 9783030141769
Издательство: Springer
Классификация:
ISBN-10: 3030141764
Обложка/Формат: Soft cover
Страницы: 175
Вес: 0.30 кг.
Дата издания: 2019
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 37 illustrations, color; 144 illustrations, black and white; xii, 175 p. 181 illus., 37 illus. in color.
Размер: 234 x 156 x 10
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: VLDB 2018 Workshops, Poly and DMAH, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
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.
Дополнительное 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



Data Management and Analytics for Medicine and Healthcare

Автор: Fusheng Wang; Lixia Yao; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319577409 ISBN-13(EAN): 9783319577401
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.

Data Management and Analytics for Medicine and Healthcare

Автор: Edmon Begoli; Fusheng Wang; Gang Luo
Название: Data Management and Analytics for Medicine and Healthcare
ISBN: 3319671855 ISBN-13(EAN): 9783319671857
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017.

Heterogeneous Data Management, Polystores, and Analytics for Healthcare

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.


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