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 Systems in Big Data, Semantic Web and Machine Learning
  name:
    name part: Gherabi, Noreddine.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Kacprzyk, Janusz.
    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: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XIV, 315 pages 210 illustrations, 120 illustrations in color.)
  abstract: This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, et cetera The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.
  table of contents: Experimental evaluation of proposed algorithm for identifying abnormal messages in SIP Network -- Smart tourism recommender system using semantic matching -- Data-Driven information filtering framework for dynamically hybrid job recommendation -- Semantic image analysis for automatic image annotation -- New method for data replication and reconstruction in distributed databases -- A distributed intrusion detection approach based on machine learning technique for a cloud security -- Cb2Onto: OWL ontology learning approach from couchbase -- Data profling over big data area - A Survey of big data profiling: state-of-the-Art, use cases and challenges -- Generalization of the fuzzy conformable differentiability with application to fuzzy fractional differential equations.
  note: edited by Noreddine Gherabi, Janusz Kacprzyk.
  subject:
    topic: Engineering-Data processing
  subject:
    topic: Computational intelligence
  subject:
    topic: Machine learning
  subject:
    topic: Data Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Machine Learning
  classification: TA345-345.5
  classification: 620.00285
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Advances in Intelligent Systems and Computing, 1344
  identifier: 9783030725884
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210528
    record change date: 20230330185215.5
    record identifier: in00004376245