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    Transportation Big Data: Theory and Methods

    Transportation Big Data by Liu, Zhiyuan; Gu, Ziyuan; Liu, Pan;

    Theory and Methods

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      • Publisher's listprice EUR 126.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        53 869 Ft (51 303 Ft + 5% VAT)
      • Discount 10% (cc. 5 387 Ft off)
      • Discounted price 48 481 Ft (46 173 Ft + 5% VAT)

    53 869 Ft

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    printed on demand

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    Product details:

    • Publisher Elsevier
    • Date of Publication 5 December 2024

    • ISBN 9780443338915
    • Binding Paperback
    • No. of pages454 pages
    • Size 228x152 mm
    • Weight 450 g
    • Language English
    • 668

    Categories

    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.

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    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

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