Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revi, Rezig El Kindi, Gadepally Vijay, Mattson Timothy
Poly 2020: Privacy, Security and/or Policy Issues for Heterogenous Data.- A Polystore Based Database Operating System (DBOS).- Polypheny-DB: Towards Bridging the Gap Between Polystores and HTAP Systems.- Persona Model Transfer for User Activity Prediction across Heterogeneous Domains.- PolyMigrate: Dynamic Schema Evolution and Data Migration in a Distributed Polystore.- An Architecture for the Development of Distributed Analytics based on Polystore Events.- Towards Data Discovery by Example.- The Transformers for Polystores - the next frontier for Polystore research.- DMAH 2020: COVID-19 Data Analytics and Visualization.- Open-world COVID-19 Data Visualization.- DMAH 2020: Deep Learning based Biomedical Data Analytics.- Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles.- An Intelligent and Efficient Rehabilitation Status Evaluation Method: A Case Study on Stroke Patients.- Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection.- DMAH 2020: NLP based Learning from Unstructured Data.- Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study.- Enhancing Medical Word Sense Inventories Using Word Sense Induction: A Preliminary Study.- DMAH 2020: Biomedical Data Modelling and Prediction.- Teaching analytics medical-data common sense.- CDRGen: A Clinical Data Registry Generator.- Prediction of lncRNA-disease associations from tripartite graphs.- DMAH 2020: Invited Paper.- Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection.
Автор: Vijay Gadepally; Timothy Mattson; Michael Stonebra Название: Heterogeneous Data Management, Polystores, and Analytics for Healthcare ISBN: 3030141764 ISBN-13(EAN): 9783030141769 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 8104.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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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