Zhiyuan Liu, Ziyuan Gu, Pan Liu

Transportation Big Data

Theory and Methods

• Broschiertes Buch

Produktbeschreibung

Transportation Big Data: Theory and Methods is centered on the big data theory and methods. Big data is now a key topic in transportation, simply because the volume of data has increased exponentially due to the growth in the amount of traffic (all modes) and detectors. This book provides a structured analysis of the commonly used methods for handling transportation big data; it is supported by a wealth of transportation engineering examples, together with codes. It offers a concise, yet comprehensive, description of the key techniques and important tools in transportation big data analysis.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 454
• Erscheinungstermin: 5. Dezember 2024
• Englisch
• Gewicht: 450g
• ISBN-13: 9780443338915
• ISBN-10: 0443338914
• Artikelnr.: 70769754

Autorenporträt

Dr. Zhiyuan (Terry) Liu is a Professor at the School of Transportation at Southeast University, China. He obtained his PhD degree from the National University of Singapore, Singapore. His research interests lie in the intersection and integration of transportation system analysis, big data analytics, and machine learning methods. He has published more than 100 papers in these areas.

Inhaltsangabe

1. Introduction
2. Data analysis in Python
3.Data preprocessing and exploratory data analysis
4. Data visualization
5. Machine learning basics
6. Linear model
7. Support vector machine
8. Decision tree
9. Clustering analysis
10. Ensemble learning
11. Artificial neural network
12. Deep learning