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: Metaheuristics for Enterprise Data Intelligence
  name:
    name part: Sakhare, Kaustubh Vaman.
    role:
      role term: creator
  name:
    name part: Sakhare, Kaustubh Vaman
    role:
      role term: editor.
  name:
    name part: Vyas, Vibha
    role:
      role term: editor.
  name:
    name part: Shastri, Apoorva S.
    role:
      role term: editor.
  type of resource: text
  origin info:
    place:
      place term: flu
    date issued: 2025
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (159 pages)
  abstract: This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.
  note: edited by Kaustubh Vaman Sakhare, Vibha Vyas, and Apoorva S. Shastri.
  note: Includes index.
  subject:
    topic: Metaheuristics
  subject:
    topic: Production planning
    topic: Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Métaheuristiques
  subject:
    topic: Production
    topic: Planification
    topic: Informatique
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  classification: T57.5 .M483 2025
  classification: 670.151
  related item:
    title info:
      title: Metaheuristics for Enterprise Data Intelligence
    name:
      name part: Sakhare, Kaustubh Vaman
    origin info:
      publisher: Milton : Taylor & Francis Group,c2024
  related item:
    title info:
      title: Advances in metaheuristics
  identifier: 9781032699806 (electronic bk.)
  identifier: 9781040096475
  identifier: 1040096476
  location:
    physical location: POD
  record info:
    record content source: AU@
    record creation date: 240729
    record change date: 20250810205607.2
    record identifier: in00005657791
    language of cataloging:
      language term: eng