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: Big Data Intelligence for Smart Applications
  name:
    name part: Baddi, Youssef.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Gahi, Youssef.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Maleh, Yassine.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Alazab, Mamoun.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Tawalbeh, Loai.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XI, 334 pages 114 illustrations, 80 illustrations in color)
  abstract: Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions, and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
  table of contents: Data Quality in the Era of Big Data: A Global Review -- Adversarial Machine Learning, Research Trends and Applications -- Multi-agent Systems for Distributed Data Mining Techniques: An Overview -- Time Series Data Analysis using Deep Learning methods for Smart Cities monitoring -- A Low-Cost IMU-Based Wearable System for Precise Identification of Walk Activity using Deep Convolutional Neural Network.
  note: edited by Youssef Baddi, Youssef Gahi, Yassine Maleh, Mamoun Alazab, Loai Tawalbeh.
  subject:
    topic: Engineering-Data processing
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Cooperating objects (Computer systems)
  subject:
    topic: Data Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Cyber-Physical Systems
  classification: TA345-345.5
  classification: 620.00285
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Studies in Computational Intelligence, 994
  identifier: 9783030879549
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 220118
    record change date: 20240805182646.3
    record identifier: in00004555706