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: ADVANCED ANALYTICS FOR INDUSTRY 4.0
    sub title: traditional industries
  type of resource: text
  origin info:
    place:
      place term: flu
    place:
      place term: BOCA RATON
    publisher: CRC PRESS
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: The evolution of modern technology has affected all the industry dimensions. Mother industries play a critical role in providing the precursor materials for other industries, and a small improvement in these can make a big change in others. This book covers the analytics revolution in Industry 4.0 for the mother industries, such as mining, oil and gas, and steel. It focuses on the use of advanced analytics and artificial intelligence to improve the business decisions aimed at increasing the quality and quantity of mother industries' products. It helps to design and implement their digital transformation strategies in these industries.Key Features: Provides a concise overview of state of the art for mother industries' executives and managers. Highlights and describes critical opportunity areas for industry operations optimization. Explains how to implement advanced data analytics through case studies and examples. Provides approaches and methods to improve data-driven decision-making. Brings experience and learning in digital transformation from adjacent sectors. This book is aimed at researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering.
  subject:
    topic: Industry 4.0
    topic: Data processing
  subject:
    topic: Quantitative research
    topic: Industrial applications
  subject:
    topic: Artificial intelligence
    topic: Industrial applications
  subject:
    topic: Recherche quantitative
    topic: Applications industrielles
  subject:
    topic: Intelligence artificielle
    topic: Applications industrielles
  classification: T59.6
  classification: 658.4038028563
  identifier: 9781003186823 (electronic bk.)
  identifier: 1003186823
  identifier: 9781040369432
  identifier: 104036943X
  identifier: 9781040369395
  identifier: 1040369391
  identifier: 9781003186823 Taylor & Francis
  location:
    physical location: POD
  record info:
    record content source: YDX
    record creation date: 250118
    record change date: 20250810205622.6
    record identifier: in00005658039
    language of cataloging:
      language term: eng