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: Intelligent techniques for predictive data analytics
  name:
    name part: Singh, Neha
    name part: (Electronic engineering professor)
    role:
      role term: editor.
  name:
    name part: Birla, Shilpi
    role:
      role term: editor.
  name:
    name part: Ansari, Mohd Dilshad
    role:
      role term: editor.
  name:
    name part: John Wiley & Sons
    role:
      role term: publisher.
  type of resource: text
  origin info:
    place:
      place term: nju
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (pages cm.)
  abstract: "This book provides an in-depth introduction of the tools and techniques used for predictive analytics, offering examples for a variety of job areas such as healthcare, e-Commerce, banking, and more. An experienced team of editors and contributors share their knowledge and provide separate chapters on cyber security risks, network security analytics, data mining, and machine learning for predictive data analysis, with each chapter offering a brief introduction. Intelligent Techniques for Predictive Data Analytics implements predictive analytics into smart grids and energy sectors, providing readers knowledge on failure probability modelling, power quality monitoring, and load forecasting, as well as information on smart grid analytics to further knowledge on clean energy and sustainability. Comprised of 11 chapters, this book touches on the issues and challenges that come with predictive analytics and discusses its evolution and future, with a clear understanding of data processing, classification and analysis to support strategic decisions"--
  note: Neha Singh, Shilpi Birla, Mohd Dilshad Ansari.
  note: Includes index.
  subject:
    topic: Engineering
    topic: Data processing
  subject:
    topic: Predictive analytics
    topic: Industrial applications
  subject:
    topic: Predictive analytics
    topic: Scientific applications
  classification: TA340 .I56 2023
  classification: 620.00285
  related item:
    title info:
      title: Intelligent techniques for predictive data analytics
    origin info:
      publisher: Hoboken, New Jersey : Wiley, [2024]
    identifier: (DLC) 2024005730
  related item:
    identifier: (DLC) 2024005729
  identifier: 9781394227990 (electronic bk.)
  identifier: 139422799X (electronic bk.)
  identifier: 9781394227969
  identifier: 1394227965
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 240625
    record change date: 20260214195756.0
    record identifier: in00004794317
    language of cataloging:
      language term: eng