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: Fraud analytics using descriptive, predictive, and social network techniques
    sub title: a guide to data science for fraud detection
  name:
    name part: Baesens, Bart.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. --
  note: Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke.
  note: Includes bibliographical references and index.
  subject:
    topic: Fraud
    topic: Statistical methods
  subject:
    topic: Fraud
    topic: Prevention
  subject:
    topic: Commercial crimes
    topic: Prevention
  subject:
    topic: SOCIAL SCIENCE / Criminology
  classification: HV6691
  classification: 364.16/3015195
  related item:
    title info:
      title: Fraud analytics using descriptive, predictive, and social network techniques
    name:
      name part: Baesens, Bart.
    origin info:
      publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2015]
    identifier: (DLC) 2015017861
  related item:
    title info:
      title: Wiley and SAS business series
  identifier: 9781119146827
  identifier: 1119146828
  identifier: 9781119146834
  identifier: 1119146836
  identifier: 9781119133124 (cloth)
  identifier: 9781119146841
  identifier: 1119146844
  identifier: 1119133122
  identifier: 2015019076
  identifier: CL0500000678 Safari Books Online
  identifier: FDC2C05E-2417-43D0-B52C-B4226A4136D6 OverDrive, Inc.
  identifier: https://doi.org/10.1002/9781119146841
  record info:
    record content source: DLC
    record creation date: 150512
    record change date: 20170124071505.8
    record identifier: ocn908935560
    language of cataloging:
      language term: eng