{"product_id":"9783030936624","title":"Heterogeneous Data Management, Polystores, and Analytics for Healthcare : VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers (Security and Cryptology 12921) (1st ed. 2021. 2022. XII, 183 S. 10 SW-Abb. 23.5 cm)","description":"This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2021, and the 7\u003csup\u003eth\u003c\/sup\u003e International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2021, which were held virtually on August 2021. \u003cp\u003e\u003c\/p\u003e\u003cp\u003eFor Poly 2021, 7 full and 2 short papers were accepted from 10 submissions; and for DMAH 2021, 4 full papers together with 2 invited papers were accepted from a total of 7 submissions. The papers were organized in topical sections as follows: distributed information systems in enterprises, enterprise access to data constructed from a variety of programming models, data management, data integration, data curation, privacy, and security innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare.\u003c\/p\u003e Privacy, Security and\/or Policy Issues for Heterogenous Data.- Data Virtual Machines: Enabling Data Virtualization.- A Formal Category Theoretical Framework for Multi-Model Data Transformations.- Towards Generic Fine-Grained Transaction Isolation in Polystores.- Data Governance in a Database Operating System (DBOS).- ACID-V: Towards a new class of DBMSs for Data Sharing.- Polystore Systems and DBMSs: Love Marriage or Marriage of Convenience?.- Pods: Privacy Compliant Scalable Decentralized Data Services.- Friends Don't Let Friends Deploy Black-Box Models: The Importance of Intelligibility and Explanation for Machine Learning in Healthcare.- Privacy-preserving Distributed Support Vector Machines.- Benchmarking Multi-Instance Learning for Multivariate Time Series Analysis.- A Cloud-Native NGS Data Processing and Annotation Platform.- Administrative Health Data Representation for Mortality and High Utilization Prediction.- Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks.","brand":"SPRINGER, BERLIN; SPRINGER","offers":[{"title":"Default Title","offer_id":48841357820139,"sku":"00000_00000_00000_00000","price":109.85,"currency_code":"SGD","in_stock":true}],"url":"https:\/\/kinokuniya.com.sg\/products\/9783030936624","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}