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: Enabling AI Applications in Data Science
  name:
    name part: Hassanien, Aboul-Ella.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Taha, Mohamed Hamed N.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Khalifa, Nour Eldeen M.
    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 (IX, 650 pages 220 illustrations, 154 illustrations in color.)
  abstract: This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.
  table of contents: Part I: Artificial Intelligence and Optimization -- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models -- The Human Mental Search Algorithm for Solving Optimisation Problems -- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic -- Identiﬁability of Discrete Concentration Graphical Models with a Latent Variable -- An Automatic Classiﬁcation of Genetic Mutations by Exploring Different Classiﬁers -- Towards Artificial Intelligence: Concepts, Applications, and Innovations -- Part II: Big Data and Artificial Intelligence Applications -- In Depth Analysis, Applications and Future Issues of Artiﬁcial Neural Network -- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture -- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.
  note: edited by Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa.
  subject:
    topic: Engineering-Data processing
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Data Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  classification: TA345-345.5
  classification: 620.00285
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Studies in Computational Intelligence, 911
  identifier: 9783030520670
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 200923
    record change date: 20230330185307.2
    record identifier: in00004392503