LEADER 04095nam 22006855 450 001 9910768440903321 005 20250528145241.0 010 $a9789819966202 010 $a9819966205 024 7 $a10.1007/978-981-99-6620-2 035 $a(MiAaPQ)EBC30985605 035 $a(Au-PeEL)EBL30985605 035 $a(DE-He213)978-981-99-6620-2 035 $a(CKB)29250254300041 035 $a(EXLCZ)9929250254300041 100 $a20231203d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data Analytics for Smart Transport and Healthcare Systems /$fby Saeid Pourroostaei Ardakani, Ali Cheshmehzangi 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (197 pages) 225 1 $aUrban Sustainability,$x2731-6491 311 08$aPrint version: Pourroostaei Ardakani, Saeid Big Data Analytics for Smart Transport and Healthcare Systems Singapore : Springer,c2024 9789819966196 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis book aims to introduce big data solutions in urban sustainability applications?mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured. 410 0$aUrban Sustainability,$x2731-6491 606 $aBig data 606 $aTransportation 606 $aHealth services administration 606 $aBig Data 606 $aTransportation Economics 606 $aHealth Care Management 606 $aTransport urbà$2thub 606 $aAssistència sanitària$2thub 606 $aDades massives$2thub 608 $aLlibres electrònics$2thub 615 0$aBig data. 615 0$aTransportation. 615 0$aHealth services administration. 615 14$aBig Data. 615 24$aTransportation Economics. 615 24$aHealth Care Management. 615 7$aTransport urbà 615 7$aAssistència sanitària 615 7$aDades massives 676 $a005.7 700 $aArdakani$b Saeid Pourroostaei$01765855 702 $aCheshmehzangi$b Ali 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910768440903321 996 $aBig Data Analytics for Smart Transport and Healthcare Systems$94465003 997 $aUNINA