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: Advances in Knowledge Discovery and Data Mining
    sub title: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part III
  name:
    name part: Gama, João.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Li, Tianrui.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Yu, Yang.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Chen, Enhong.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Zheng, Yu.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Teng, Fei.
    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 (XV, 384 pages 119 illustrations, 109 illustrations in color.)
  abstract: The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.
  table of contents: Data Science -- Big Data -- Data mining. Model selection, -- Biological data -- IoT data, -- Deep learning. Meta-learning -- Security -- Privacy.
  note: edited by João Gama, Tianrui Li, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Social sciences-Data processing
  subject:
    topic: Image processing-Digital techniques
  subject:
    topic: Computer vision
  subject:
    topic: Data mining
  subject:
    topic: Information storage and retrieval systems
  subject:
    topic: Application software
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Application in Social and Behavioral Sciences
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Computer and Information Systems Applications
  classification: Q334-342
  classification: TA347.A78
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 13282
  identifier: 9783031059810
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 220509
    record change date: 20240805181153.0
    record identifier: in00004578445