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001451775 001__ 1451775
001451775 003__ OCoLC
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001451775 019__ $$a1354205425
001451775 020__ $$a9789811975325$$q(electronic bk.)
001451775 020__ $$a9811975329$$q(electronic bk.)
001451775 020__ $$z9789811975318
001451775 020__ $$z9811975310
001451775 0247_ $$a10.1007/978-981-19-7532-5$$2doi
001451775 035__ $$aSP(OCoLC)1353836626
001451775 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ$$dBRX
001451775 049__ $$aISEA
001451775 050_4 $$aQA76.9.B45
001451775 08204 $$a005.7$$223/eng/20230103
001451775 1112_ $$aChina National Conference on Big Data and Social Computing$$n(7th :$$d2022 :$$cHangzhou, China).
001451775 24510 $$aBig data and social computing :$$b7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, revised selected papers /$$cXiaofeng Meng, Qi Xuan, Yang Yang, Yang Yue, Zi-Ke Zhang (eds.).
001451775 24630 $$aBDSC 2022
001451775 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001451775 264_4 $$c©2022
001451775 300__ $$a1 online resource (xiii, 390 pages) :$$billustrations (chiefly color).
001451775 336__ $$atext$$btxt$$2rdacontent
001451775 337__ $$acomputer$$bc$$2rdamedia
001451775 338__ $$aonline resource$$bcr$$2rdacarrier
001451775 4901_ $$aCommunications in computer and information science ;$$v1640
001451775 500__ $$aConference proceedings.
001451775 500__ $$aIncludes author index.
001451775 5050_ $$aIntro -- Preface -- Organization -- Contents -- Urban Computing and Social Governance -- Resilience-Based Epidemic Strategy Evaluation Method Under Post-Covid-19 -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Urban Subsystems Applied to Resilience -- 2.2 Resilience Concept Applied to Urban System -- 2.3 Strategy Evaluation Method Applied to Urban Resilience -- 3 Strategy Evaluation Framework -- 4 Case Analysis and Discussion -- 4.1 Identifying Evaluable Strategies -- 4.2 Identifying Evaluable Strategies -- 4.3 Resilience Capacity Index System of Urban Social System Under Epidemic
001451775 5058_ $$a4.4 Accumulation -- 4.5 Discussion -- 5 Conclusion -- References -- The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity -- 1 Introduction -- 2 Methodology -- 2.1 Model of Infection Risk -- 2.2 Case Design -- 3 Results -- 3.1 The Transmission of COVID-19 Caused by the Alumni Group for the Baseline Case -- 3.2 The Effect of Ventilation, Social Distancing and Wearing Mask on COVID-19 Transmission -- 3.3 The Impact of Combined Intervention Measures on the COVID-19 Transmission -- 4 Discussion -- 4.1 The Transmission Risk Brought by Staff During the Anniversary
001451775 5058_ $$a4.2 The Comparison of Cases with Different Initial Infector Proportions -- 4.3 The Limitations of This Study -- 5 Conclusions -- References -- Social Resilience Assessment for Urban System: A Case Study of COVID-19 Epidemic -- 1 Introduction -- 2 Gap Analysis-Based Assessment Method -- 3 Case Analysis of COVID-19 Epidemic -- 3.1 Materials and Methods -- 3.2 Data Analysis Results -- 3.3 Resilience Analysis -- 4 Discussion -- 5 Conclusion -- References -- Prediction of Female Fertility Structure and Population Change in China by Modified SIR Model -- 1 Introduction
001451775 5058_ $$a2 SIR Fertility Structure and Population Prediction Model -- 2.1 Model Front -- 2.2 Basic Prediction Model -- 2.3 Parameters of the Model -- 3 Data Source and Parameter Setting -- 3.1 Data Sources -- 3.2 Parameter Setting -- 4 Analysis of Empirical Results -- 4.1 SIR Population Model Prediction Analysis -- 4.2 Model Prediction Error Validation Analysis -- 4.3 Model Prediction of Future Population Scenarios -- 5 Conclusion -- References -- Generative Adversarial Network for Imputation of Road Network Traffic State Data -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing
001451775 5058_ $$a2.2 The Feature Abstraction of Road Network Based on GAE -- 2.3 The Design of Generative Adversarial Network for Spatio-Temporal Feature Based on LSTM -- 2.4 The Imputation of Road Network Data Based on GAE-GAN -- 3 Experiment -- 3.1 Experimental Design -- 3.2 Parameter Setting and Model Index -- 4 Results and Discussion -- 4.1 Effectiveness of GAE -- 4.2 Effectiveness of Internal Structure of Generator (LSTM) -- 4.3 Comparison with Other Models -- 5 Conclusions -- References -- Artificial Intelligence and Cognitive Science
001451775 506__ $$aAccess limited to authorized users.
001451775 520__ $$aThis book constitutes refereed proceedings of the 7th China National Conference on Big Data and Social Computing, BDSC 2022, held in Hangzhou, China, from August 11-13, 2022 The 24 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 99 submissions. The papers in the volume are organised according to the following topical headings: urban computing and social governance; artificial intelligence and cognitive science; social network and group behavior; digital society and public security; digital government and public big data.
001451775 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 3, 2023).
001451775 650_0 $$aBig data$$vCongresses.
001451775 650_0 $$aInformation technology$$xSocial aspects$$vCongresses.
001451775 655_0 $$aElectronic books.
001451775 655_7 $$aConference papers and proceedings.$$2lcgft
001451775 7001_ $$aMeng, Xiaofeng,$$d1964-$$eeditor.$$1https://isni.org/isni/0000000436217463
001451775 7001_ $$aXuan, Qi,$$eeditor.
001451775 7001_ $$aYang, Yang,$$eeditor.
001451775 7001_ $$aYue, Yang,$$eeditor.
001451775 7001_ $$aZhang, Zi-Ke,$$eeditor.
001451775 77608 $$iPrint version: $$z9811975310$$z9789811975318$$w(OCoLC)1346214662
001451775 830_0 $$aCommunications in computer and information science ;$$v1640.
001451775 852__ $$bebk
001451775 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7532-5$$zOnline Access$$91397441.1
001451775 909CO $$ooai:library.usi.edu:1451775$$pGLOBAL_SET
001451775 980__ $$aBIB
001451775 980__ $$aEBOOK
001451775 982__ $$aEbook
001451775 983__ $$aOnline
001451775 994__ $$a92$$bISE