Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12633
Editat de Vijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskayaen Limba Engleză Paperback – 4 mar 2021
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Specificații
ISBN-13: 9783030710545
ISBN-10: 3030710548
Pagini: 233
Ilustrații: XIII, 233 p. 84 illus., 71 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Security and Cryptology
Locul publicării:Cham, Switzerland
ISBN-10: 3030710548
Pagini: 233
Ilustrații: XIII, 233 p. 84 illus., 71 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.35 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Security and Cryptology
Locul publicării:Cham, Switzerland
Cuprins
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.