001484652 000__ 04134cam\\2200613\i\4500 001484652 001__ 1484652 001484652 003__ OCoLC 001484652 005__ 20240117003332.0 001484652 006__ m\\\\\o\\d\\\\\\\\ 001484652 007__ cr\cn\nnnunnun 001484652 008__ 231211s2023\\\\si\a\\\\ob\\\\001\0\eng\d 001484652 019__ $$a1412494723$$a1412623767 001484652 020__ $$a9789819966202$$q(electronic bk.) 001484652 020__ $$a9819966205$$q(electronic bk.) 001484652 020__ $$z9789819966196 001484652 020__ $$z9819966191 001484652 0247_ $$a10.1007/978-981-99-6620-2$$2doi 001484652 035__ $$aSP(OCoLC)1413228479 001484652 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCO 001484652 049__ $$aISEA 001484652 050_4 $$aHE147.6 001484652 08204 $$a388.072$$223/eng/20231211 001484652 1001_ $$aArdakani, Saeid Pourroostaei,$$eauthor. 001484652 24510 $$aBig data analytics for smart transport and healthcare systems /$$cSaeid Pourroostaei Ardakani, Ali Cheshmehzangi. 001484652 264_1 $$aSingapore :$$bSpringer,$$c[2023] 001484652 264_4 $$c©2023 001484652 300__ $$a1 online resource (xvii, 190 pages) :$$billustrations (chiefly color). 001484652 336__ $$atext$$btxt$$2rdacontent 001484652 337__ $$acomputer$$bc$$2rdamedia 001484652 338__ $$aonline resource$$bcr$$2rdacarrier 001484652 4901_ $$aUrban sustainability,$$x2731-6491 001484652 504__ $$aIncludes bibliographical references and index. 001484652 5050_ $$aThe Role of Big Data Analytics in Urban Systems: Review and Prospect for Smart Transport and Healthcare Systems -- Smart Transport -- Big Data Analysis for an Optimised Classification for Flight Status: Prediction Analysis using Machine Learning Classifiers -- On-Board Unit Freight Transport Data Analysis and Prediction: Big Data Analysis for Data Pre-processing and Result Accuracy -- Data-driven Multi-target Prediction Analysis for Driving Pattern Recognition: A Machine Learning Approach to enhance Prediction Accuracy -- A Predictive Data Analysis for Traffic Accidents: Real-time Data use for Mobility Improvement and Accident Reduction -- Smart Healthcare -- Healthcare Infrastructure Development and Pandemic Prevention: An Optimal Model for Healthcare Investment using Big Data -- Big Data for Social Media Analysis during the COVID-19 Pandemic: An Emotion Analysis based on Influences from Social Networks -- Big Data-enabled Time Series analysis for Climate Change Analysis in Brazil: An Artificial Neural Network Machine Learning Model -- Optimized Clustering Model for Healthcare Sentiments on Twitter: A Big Data Analysis Approach -- Big Data Analytics and the Future of Smart Transport and Healthcare Systems. 001484652 506__ $$aAccess limited to authorized users. 001484652 520__ $$aThis book aims to introduce big data solutions in urban sustainability applications—mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured. 001484652 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 11, 2023). 001484652 650_6 $$aDonnées volumineuses. 001484652 650_6 $$aTransport$$xInformatique. 001484652 650_6 $$aSoins médicaux$$xInformatique. 001484652 650_0 $$aBig data.$$0(DLC)sh2012003227 001484652 650_0 $$aTransportation$$xData processing. 001484652 650_0 $$aMedical care$$xData processing.$$0(DLC)sh 98000411 001484652 655_0 $$aElectronic books. 001484652 7001_ $$aCheshmehzangi, Ali,$$eauthor. 001484652 77608 $$iPrint version: $$z9819966191$$z9789819966196$$w(OCoLC)1394895042 001484652 830_0 $$aUrban sustainability.$$x2731-6491 001484652 852__ $$bebk 001484652 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-6620-2$$zOnline Access$$91397441.1 001484652 909CO $$ooai:library.usi.edu:1484652$$pGLOBAL_SET 001484652 980__ $$aBIB 001484652 980__ $$aEBOOK 001484652 982__ $$aEbook 001484652 983__ $$aOnline 001484652 994__ $$a92$$bISE