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001443380 001__ 1443380
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001443380 019__ $$a1291146185$$a1291172122$$a1291315312$$a1294354807$$a1299231893
001443380 020__ $$a9783030751661$$q(electronic bk.)
001443380 020__ $$a303075166X$$q(electronic bk.)
001443380 020__ $$z9783030751654
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001443380 0247_ $$a10.1007/978-3-030-75166-1$$2doi
001443380 035__ $$aSP(OCoLC)1290839221
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001443380 049__ $$aISEA
001443380 050_4 $$aR859.7.A78$$bI54 2020
001443380 08204 $$a610.285/63$$223
001443380 1112_ $$aINFORMS International Conference on Service Science$$d(2020 :$$cOnline)
001443380 24510 $$aAI and analytics for public health :$$bproceedings of the 2020 INFORMS International Conference on Service Science /$$cHui Yang, Robin Qiu, Weiwei Chen, editors.
001443380 264_1 $$aCham :$$bSpringer,$$c[2022]
001443380 264_4 $$c©2022
001443380 300__ $$a1 online resource :$$billustrations.
001443380 336__ $$atext$$btxt$$2rdacontent
001443380 337__ $$acomputer$$bc$$2rdamedia
001443380 338__ $$aonline resource$$bcr$$2rdacarrier
001443380 347__ $$atext file$$bPDF$$2rda
001443380 4901_ $$aSpringer proceedings in business and economics
001443380 500__ $$aInternational conference proceedings.
001443380 500__ $$aConference held in virtual format.
001443380 5050_ $$aChapter 1. Private vs. Pooled Transportation: Customer Preference and Congestion Management -- Chapter 2. Optimal Dispatch in Emergency Service System via Reinforcement Learning -- Chapter 3. Towards Understanding the Dynamics of COVID-19: An Approach based on Polynomial Regression with Adaptive Sliding Windows -- Chapter 4. Capturing the Deep Trend of Stock Market for a Big Profit -- Chapter 5. Analysis on Competitiveness of Service Outsourcing Industry in Yangtze River Delta Region -- Chapter 6. OPBFT: Optimized Practical Byzantine Fault Tolerant Consensus Mechanism Model -- Chapter 7. Entropy Weight-TOPSIS Method Considered Text Information with An Application in E-commerce -- Chapter 8. Optimal Resource Allocation for Coverage Control of City Crimes -- Chapter 9. Application of Internet of Things (IoT) in Inventory Management for Perishable Produce -- Chapter 10. Enabling Smart Buildings with Reinforcement Learning Controllers to Reduce Energy Consumption -- Chapter 11. Modified Risk Parity Portfoliosto Limit Concentration on Low Risk Assets in Multi-Asset Portfolios -- Chapter 12. A Data Analysis Method for Estimating Balking Behavior in Bike-Sharing Systems -- Chapter 13. The Impact of Scalability on Advisory and Service Delivery Efforts of Nonprofits -- Chapter 14. Green Location-Routing Problem with Delivery Options -- Chapter 15. Molecular Bioactivity Prediction of HDAC1 Based on Deep Neural Nets -- Chapter 16. Risk assessment indicators for technology enterprises: From the perspective of complex networks -- Chapter 17. Risk assessment indicators for technology enterprises: From the perspective of complex networks -- Chapter 18. Early Detection of Rumors Based on BERT Model.
001443380 506__ $$aAccess limited to authorized users.
001443380 520__ $$aThis volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. Chapters highlight ways to approach such technical challenges in service science and are based on submissions from the 2020 INFORMS International Conference on Service Science.
001443380 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 20, 2022).
001443380 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
001443380 650_0 $$aPublic health$$xData processing$$vCongresses.
001443380 650_6 $$aIntelligence artificielle en médecine$$vCongrès.
001443380 650_6 $$aSanté publique$$xInformatique$$vCongrès.
001443380 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001443380 655_7 $$aConference papers and proceedings.$$2lcgft
001443380 655_7 $$aActes de congrès.$$2rvmgf
001443380 655_0 $$aElectronic books.
001443380 7001_ $$aYang, Hui,$$eeditor.
001443380 7001_ $$aQiu, Robin G.,$$eeditor.
001443380 7001_ $$aChen, Weiwei,$$eeditor.
001443380 77608 $$iPrint version: $$z3030751651$$z9783030751654$$w(OCoLC)1245659468
001443380 830_0 $$aSpringer proceedings in business and economics.
001443380 852__ $$bebk
001443380 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75166-1$$zOnline Access$$91397441.1
001443380 909CO $$ooai:library.usi.edu:1443380$$pGLOBAL_SET
001443380 980__ $$aBIB
001443380 980__ $$aEBOOK
001443380 982__ $$aEbook
001443380 983__ $$aOnline
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