Big Data Analytics for Smart Transport and Healthcare Systems:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Schriftenreihe: | Urban Sustainability
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | XVII, 190 Seiten Illustrationen |
| ISBN: | 9789819966196 |
| ISSN: | 2731-6491 |
Internformat
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Datensatz im Suchindex
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1 The Role of Big Data Analytics in Urban Systems: Review and Prospect for Smart Transport and Healthcare Systems . 1 Introduction . 2 Big Data Analytics in Urban Systems . 2.1 Development Process of Big Data Analytics . 2.2 Application of Big Data Analytics . 2.3 Security and Detection . 2.4 Energy Consumption Management . 2.5 Governance and Planning . 2.6 Health Monitoring and Response . 2.7 Transportation and Flows. 3 Challenges of Big Data Analytics in Cities. 4 Prospects of Urban Big Data Analytics . 4.1 Review and Prospect for Smart Transport and Healthcare Systems . 5 Conclusions . 6 Summary . A ppendix . References
. Part I 2 1 1 2 3 4 4 5 6 6 6 7 8 9 9 10 15 24 Smart Transport Big Data Analysis for an Optimised Classification for Flight Status: Prediction Analysis Using Machine Learning Classifiers . 1 Introduction . 2 Literature Review . 2.1 Machine Learning for Flight Predictions. 3 Methodology . 4 Result and Discussion . 5 Conclusion. 29 29 31 32 33 37 40
References . 3 On-Board Unit Freight Transport Data Analysis and Prediction: Big Data Analysis for Data Pre-processing and Result Accuracy . Introduction. Literature Review . Methodology . 3.1 Data Preprocessing . 3.2 Time Series Prediction Models . 4 Results and Discussions. 4.1 Data Exploration and Visualisation . 4.2 Contributions in Data Preprocessing . 4.3 Comparison of LSTM and LSTM + FCN Model . 5 Conclusion. References . 1 2 3 4 Data-Driven Multi-target Prediction Analysis for Driving Pattern Recognition: A Machine Learning Approach to Enhance Prediction Accuracy . Introduction
. Literature Review . Methodology . 3.1 Data Pre-processing . 3.2 Multi-target Prediction Model. 3.3 Clustering. 4 Result and Discussion . 4.1 Performance Evaluation Metrics. 4.2 The Model Evaluation . 4.3 Model Training Delay . 5 Conclusion and Future Work . References . 1 2 3 5 A Predictive Data Analysis for Traffic Accidents: Real-Time Data Use for Mobility Improvement and Accident Reduction. 1 2 3 Introduction . Literature Review . Methodology . 3.1 Data Preprocessing
. 3.2 Information Correlation Calculation . 4 Result and Discussion . 4.1 Data Analysis . 4.2 Correlation Calculation . 4.3 Evaluation . 5 Conclusion. References . 42 45 45 46 49 49 50 53 53 56 56 59 60 63 63 66 68 68 72 73 74 75 75 77 77 78 81 81 82 84 84 86 88 88 93 93 93 97
Part II 6 7 8 Smart Healthcare Healthcare Infrastructure Development and Pandemic Prevention: An Optimal Model for Healthcare Investment Using Big Data. 1 Introduction. 2 Literature Review . 3 Methodology . 3.1 Data Processing. 3.2 Linear Regression . 3.3 SVR . 3.4 KNN . 3.5 Decision Tree. 4 Results and Discussions. 4.1 Linear Regression Analysis . 4.2 SVR . 4.3 KNN . 4.4 Decision Tree. 4.5 Discussions
. 5 Conclusions . References . Big Data for Social Media Analysis During the COVID-19 Pandemic: An Emotion Analysis Based on Influences from Social Networks. 121 1 Introduction. 2 Literature Review . 2.1 Hot Topic Searches: An Analysis of Information Spread During the COVID-19 Pandemic . 123 2.2 Social Media Sentimental Analysis Abroad . 2.3 Social Media Sentimental Analysis in China . 2.4 Public Opinions Toward COVID-19 Lockdown . 2.5 Text Emotion Analysis. 3 Methodology . 3.1 Data Collection . 3.2 Data Pre-processing . 3.3 Data Analysis and Visualisation . 3.4 Machine
Learning. 4 Results and Discussion . 5 Conclusions . References . 103 103 104 107 107 109 109 109 110 110 110 112 115 116 116 117 118 121 123 124 125 126 126 128 128 129 131 132 132 137 138 Big Data-Enabled Time Series Analysis for Climate Change Analysis in Brazil: An Artificial Neural Network Machine Learning Model. 141 1 Introduction . 141
Related Work . 142 2·ι pcAJ42 2.2 Cross-Validation 343 2.3 Time Series Mode] 144 2.4 Multi-layer Perceptron . 145 3 Methodology . 146 3.1 Dimension Reduction . 146 3.2 Time Series Model . 146 4 Results and Discussion . 150 4.1 Results of PCA . 150 4.2 Results of Model . 151 4.3 Results Analysis . 153 5 Conclusions and Future Work. 154 References . . . 154 2 9 Optimized Clustering Model for Healthcare Sentiments on Twitter: A Big Data Analysis Approach. 157 1 Introduction: Social Media and Public View on Health-Related Matters . . j 57 2 Literature Review on Sentiment Analysis in Healthcare. 159 2.1 Key words Extraction Methods . 160 2.2 Sentiment Analysis Clustering Models . 161 3 Methodology . j$2 3.1 Feature Extraction Algorithm
. 162 3.2 Clustering Algorithms . 163 4 Experiments andResults . 165 4.1 Dataset . ^5 4.2 Experiment and Configuration . 165 4.3 Evaluation Metrics . 166 4.4 Clustering Results and Discussion . 166 5 Conclusions. j70 References . j^j 10 Big Data Analytics and the Future of Smart Transport and Healthcare Systems . 175 1 A Brief Reflection on Big Data Analytics and Smart Transport and Healthcare Systems 175 2 Sectoral Contributions of the Book . 177 3 Concluding Remarks: A Summary of Lessons Learnt for Future Research . 179 3.1 On'Smart Transport’ . 179 3.2 On ‘SmartHealthcare’ . Igo References . 182 Index. 185
This 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 beneiits and constraints where data is sensitive, real-time, and/or semi-structured. |
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| index_date | 2024-07-03T23:27:16Z |
| indexdate | 2024-07-10T10:09:57Z |
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| publishDate | 2023 |
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| spelling | Pourroostaei Ardakani, Saeid ca. 20./21. Jh. Verfasser (DE-588)1322439435 aut Big Data Analytics for Smart Transport and Healthcare Systems Saeid Pourroostaei Ardakani, Ali Cheshmehzangi Singapore Springer Nature Singapore 2023 Singapore Springer XVII, 190 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Urban Sustainability 2731-6491 Big Data Transportation Economics Health Care Management Big data Transportation Health services administration Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Transport (DE-588)4060680-6 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Big Data (DE-588)4802620-7 s Gesundheitswesen (DE-588)4020775-4 s Maschinelles Lernen (DE-588)4193754-5 s Transport (DE-588)4060680-6 s DE-604 Cheshmehzangi, Ali (DE-588)115301775X aut Erscheint auch als Online-Ausgabe 978-981-9966-20-2 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034878792&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034878792&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Pourroostaei Ardakani, Saeid ca. 20./21. Jh Cheshmehzangi, Ali Big Data Analytics for Smart Transport and Healthcare Systems Big Data Transportation Economics Health Care Management Big data Transportation Health services administration Gesundheitswesen (DE-588)4020775-4 gnd Transport (DE-588)4060680-6 gnd Big Data (DE-588)4802620-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
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| title | Big Data Analytics for Smart Transport and Healthcare Systems |
| title_auth | Big Data Analytics for Smart Transport and Healthcare Systems |
| title_exact_search | Big Data Analytics for Smart Transport and Healthcare Systems |
| title_exact_search_txtP | Big Data Analytics for Smart Transport and Healthcare Systems |
| title_full | Big Data Analytics for Smart Transport and Healthcare Systems Saeid Pourroostaei Ardakani, Ali Cheshmehzangi |
| title_fullStr | Big Data Analytics for Smart Transport and Healthcare Systems Saeid Pourroostaei Ardakani, Ali Cheshmehzangi |
| title_full_unstemmed | Big Data Analytics for Smart Transport and Healthcare Systems Saeid Pourroostaei Ardakani, Ali Cheshmehzangi |
| title_short | Big Data Analytics for Smart Transport and Healthcare Systems |
| title_sort | big data analytics for smart transport and healthcare systems |
| topic | Big Data Transportation Economics Health Care Management Big data Transportation Health services administration Gesundheitswesen (DE-588)4020775-4 gnd Transport (DE-588)4060680-6 gnd Big Data (DE-588)4802620-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Big Data Transportation Economics Health Care Management Big data Transportation Health services administration Gesundheitswesen Transport Maschinelles Lernen |
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