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: Data Science and Intelligent Applications
    sub title: Proceedings of ICDSIA 2020
  name:
    name part: Kotecha, Ketan.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Piuri, Vincenzo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Shah, Hetalkumar N.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Patel, Rajan.
    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: si
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XIII, 576 pages 222 illustrations, 160 illustrations in color.)
  abstract: This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by Gandhinagar Institute of Technology (GIT), Gujarat, India, on January 24-25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers from academia and industry to present and share their ideas, views and results, while also helping them approach the challenges of technological advancements from different viewpoints. The contributions cover a broad range of topics, including: collective intelligence, intelligent systems, IoT, fuzzy systems, Bayesian networks, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, speech processing, machine learning and deep learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource for instructors, students, industry practitioners, engineers, managers, researchers, and scientists alike. .
  table of contents: Hate Speech Detection: A Bird's Eye View -- Intrusion Detection System Using Semi-supervised Machine Learning -- A Survey on Machine Learning and Deep Learning based Approaches for Sarcasm Identification in Social Media -- A Machine Learning Algorithm to Predict Financial Investment -- Genetic Algorithm based Task Scheduling for Load Balancing in Cloud -- Experimental Analysis of Measuring Neighbourhood Change in the Presence of Wormhole in Mobile Wireless Sensor Networks -- Privy Cloud/Web Server -- Automating Container Deployments Using CI/CD -- Security and Performance Evaluations of QUIC Protocol -- Comparative Survey of Digital Image Steganography Spatial Domain Techniques -- Automatic Evaluation of Analog Circuit Designs.
  note: edited by Ketan Kotecha, Vincenzo Piuri, Hetalkumar N. Shah, Rajan Patel.
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Engineering-Data processing
  subject:
    topic: Data mining
  subject:
    topic: Computer security
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Data Engineering
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Systems and Data Security
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes on Data Engineering and Communications Technologies, 52
  identifier: 9789811544743
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 200617
    record change date: 20230330185128.7
    record identifier: in00004390367