LEADER 03602nam 2200517 450 001 9910768440903321 005 20231213075801.0 010 $a981-9966-20-5 024 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(EXLCZ)9929250254300041 100 $a20231213d2023 uy 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 /$fSaeid Pourroostaei Ardakani and Ali Cheshmehzangi 205 $aFirst edition. 210 1$aSingapore :$cSpringer Nature Singapore Pte Ltd.,$d[2023] 210 4$dİ2023 215 $a1 online resource (197 pages) 225 1 $aUrban Sustainability Series 311 08$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 (Springer (Firm)) 606 $aBig data 606 $aMedical care$xData processing 606 $aTransportation$xData processing 615 0$aBig data. 615 0$aMedical care$xData processing. 615 0$aTransportation$xData processing. 676 $a005.7 700 $aPourroostaei Ardakani$b Saeid$01457785 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$93660567 997 $aUNINA