Product details:
| ISBN13: | 9780443338915 |
| ISBN10: | 0443338914 |
| Binding: | Paperback |
| No. of pages: | 454 pages |
| Size: | 228x152 mm |
| Weight: | 450 g |
| Language: | English |
| 693 |
Category:
Transportation Big Data
Theory and Methods
Publisher: Elsevier
Date of Publication: 5 December 2024
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EUR 126.99
EUR 126.99
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Long description:
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.
Table of Contents:
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
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