001434736 000__ 05899cam\a2200781\a\4500 001434736 001__ 1434736 001434736 003__ OCoLC 001434736 005__ 20230309003816.0 001434736 006__ m\\\\\o\\d\\\\\\\\ 001434736 007__ cr\un\nnnunnun 001434736 008__ 210313s2021\\\\sz\\\\\\o\\\\\101\0\eng\d 001434736 019__ $$a1241442148$$a1244116240$$a1244635621 001434736 020__ $$a9783030710552$$q(electronic bk.) 001434736 020__ $$a3030710556$$q(electronic bk.) 001434736 020__ $$z9783030710545$$q(print) 001434736 020__ $$z3030710548$$q(print) 001434736 0247_ $$a10.1007/978-3-030-71055-2$$2doi 001434736 035__ $$aSP(OCoLC)1241444311 001434736 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dOCLCO$$dEBLCP$$dYDX$$dDCT$$dSFB$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCO$$dOCLCQ 001434736 049__ $$aISEA 001434736 050_4 $$aQA76.9.D3 001434736 08204 $$a005.74$$223 001434736 1112_ $$aPoly (Workshop)$$d(2020 :$$cOnline) 001434736 24510 $$aHeterogeneous data management, polystores, and analytics for healthcare :$$bVLDB Workshops, Poly 2020 and DMAH 2020, virtual event, August 31 and September 4, 2020, Revised selected papers /$$cVijay Gadepally, Timothy Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya (eds.). 001434736 2463_ $$aPoly 2020 001434736 2463_ $$aDMAH 2020 001434736 260__ $$aCham :$$bSpringer,$$c2021. 001434736 300__ $$a1 online resource (235 pages) 001434736 336__ $$atext$$btxt$$2rdacontent 001434736 337__ $$acomputer$$bc$$2rdamedia 001434736 338__ $$aonline resource$$bcr$$2rdacarrier 001434736 347__ $$atext file 001434736 347__ $$bPDF 001434736 4901_ $$aLecture Notes in Computer Science ;$$v12633 001434736 4901_ $$aLNCS sublibrary, SL 4, Security and cryptology 001434736 500__ $$aIncludes author index. 001434736 5050_ $$aPoly 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. 001434736 506__ $$aAccess limited to authorized users. 001434736 520__ $$aThis 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 2020, and the 6th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2020, which were held virtually on August 31 and September 4, 2020. For Poly 2020, 4 full and 3 short papers were accepted from 10 submissions; and for DMAH 2020, 7 full and 2 short papers were accepted from a total of 15 submissions. The papers were organized in topical sections as follows: Privacy, Security and/or Policy Issues for Heterogenous Data; COVID-19 Data Analytics and Visualization; Deep Learning based Biomedical Data Analytics; NLP based Learning from Unstructured Data; Biomedical Data Modelling and Prediction. 001434736 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 26, 2021). 001434736 650_0 $$aDatabase management$$vCongresses. 001434736 650_0 $$aMedical informatics$$vCongresses. 001434736 650_0 $$aFederated database systems$$vCongresses. 001434736 650_6 $$aBases de données$$xGestion$$vCongrès. 001434736 650_6 $$aMédecine$$xInformatique$$vCongrès. 001434736 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001434736 655_7 $$aConference papers and proceedings.$$2lcgft 001434736 655_7 $$aActes de congrès.$$2rvmgf 001434736 655_0 $$aElectronic books. 001434736 7001_ $$aGadepally, Vijay. 001434736 7001_ $$aMattson, Timothy G.,$$d1958- 001434736 7001_ $$aStonebraker, Michael. 001434736 7001_ $$aKraska, Tim. 001434736 7001_ $$aWang, Fusheng$$c(Assistant professor) 001434736 7001_ $$aLuo, Gang$$c(Assistant professor) 001434736 7001_ $$aKong, Jun,$$d1978- 001434736 7001_ $$aDubovitskaya, Alevtina. 001434736 7112_ $$aDMAH (Workshop)$$n(6th :$$d2020 :$$cOnline) 001434736 7112_ $$aInternational Conference on Very Large Data Bases$$n(46th :$$d2020 :$$cOnline) 001434736 77608 $$iPrint version:$$aGadepally, Vijay.$$tHeterogeneous 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.$$dCham : Springer International Publishing AG, ©2021$$z9783030710545 001434736 830_0 $$aLecture notes in computer science ;$$v12633. 001434736 830_0 $$aLNCS sublibrary.$$nSL 4,$$pSecurity and cryptology. 001434736 852__ $$bebk 001434736 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-71055-2$$zOnline Access$$91397441.1 001434736 909CO $$ooai:library.usi.edu:1434736$$pGLOBAL_SET 001434736 980__ $$aBIB 001434736 980__ $$aEBOOK 001434736 982__ $$aEbook 001434736 983__ $$aOnline 001434736 994__ $$a92$$bISE