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: Machine learning for criminology and crime research
    sub title: at the crossroads
  name:
    name part: Campedelli, Gian Maria
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2022
    edition: First Edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  note: Gian Maria Campedelli.
  note: Includes bibliographical references and index.
  subject:
    topic: Criminology
    topic: Research
  subject:
    topic: Artificial intelligence
    topic: Research
  subject:
    topic: Machine learning
    topic: Statistical methods
  classification: HV6024.5 .C35 2022
  classification: 364.072
  related item:
    title info:
      title: Routledge advances in criminology
  related item:
    title info:
      title: Machine learning for criminology and criminal research
    name:
      name part: Campedelli, Gian Maria.
    origin info:
      publisher: London ; New York : Routledge, Taylor & Francis Group, 2022
      edition: First Edition.
    identifier: (DLC) 2021059992
  identifier: 9781003217732
  identifier: 1003217737
  identifier: 9781032109190
  identifier: 9781032109282
  identifier: 2021059993
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 211210
    record change date: 20220804142620.7
    record identifier: in00004596179
    language of cataloging:
      language term: eng