rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Transportation big data
    sub title: theory and methods
  name:
    name part: Liu, Zhiyuan.
    role:
      role term: creator
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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.- Covers big data applications in transportation engineering in real-world scenarios- Shows how to select different machine learning algorithms for processing, analyzing, and modeling transportation data- Provides an overview of the fundamental concepts of machine learning and how classical algorithms can be applied to transportation-related problems- Provides an overview of Python's basic syntax and commonly used modules, enabling practical data analysis and modeling tasks using Python.
  subject:
    topic: Transportation
    topic: Data processing
  subject:
    topic: Big data
  subject:
    topic: Transport
    topic: Informatique
  classification: HE147.6 .L58 2025
  classification: 388.0285/57
  related item:
    identifier: (OCoLC)1438916222
  identifier: 0443338922
  identifier: 9780443338922
  identifier: 9780443338915
  identifier: 0443338914
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 241212
    record change date: 20260327180721.2
    record identifier: in00005773988
    language of cataloging:
      language term: eng