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: Handbook of mobility data mining
    part number: Volume One
    part name: Data preprocessing and visualization
  title info:
    title: Data preprocessing and visualization
  name:
    name part: Zhang, Haoran
    name part: (College teacher)
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2023
    copyright date: 2023
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations (some color)
  abstract: "Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations."--Provided by Publisher.
  table of contents: Chapter One - An overview of urban data variety and respective value to urban computing -- Chapter Two - Quality assessment for big mobility data -- Chapter Three - Noise filter method for mobile trajectory data -- Chapter Four - Modifiable areal unit problem in grided population density map -- Chapter Five - Few-shot count estimation of mobility dynamics by scaling GPS -- Chapter Six - Trip segmentation and mode detection for human mobility data -- Chapter Seven - Benchmark of travel mode detection with smartphone GPS trajectories -- Chapter Nine - Map-matching for low accuracy trajectory data -- Chapter Ten - Social information labeling for individual mobile phone user -- Chapter eleven - Web-based spatio-temporal data visualization technology for urban digital twin.
  note: edited by Haoran Zhang.
  note: Includes bibliographical references and index.
  subject:
    topic: Big data
  subject:
    topic: Data mining
  subject:
    topic: Données volumineuses
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Big data
  subject:
    topic: Data mining
  classification: QA76.9.B45 H36 2023
  classification: 005.7
  related item:
    title info:
      title: Handbook of mobility data mining. Volume 1, Data preprocessing and visualization
    origin info:
      publisher: Amsterdam : Elsevier, 2023
    identifier: (OCoLC)1350637741
  identifier: 0443184291
  identifier: 9780443184291
  identifier: 9780443184284
  identifier: 0443184283
  identifier: 9780443184291 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 230212
    record change date: 20260327174123.9
    record identifier: in00005771421
    language of cataloging:
      language term: eng