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: Focusing Solutions for Data Mining
    sub title: Analytical Studies and Experimental Results in Real-World Domains
  name:
    name part: Reinartz, Thomas.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 1999
    edition: 1st ed. 1999.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 316 p. online resource.
  abstract: In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.
  table of contents: Knowledge Discovery in Databases -- Focusing Tasks -- Focusing Solutions -- Analytical Studies -- Experimental Results -- Conclusions.
  note: by Thomas Reinartz.
  subject:
    topic: Database management
  subject:
    topic: Artificial intelligence
  subject:
    topic: Algorithms
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Computational complexity
  subject:
    topic: Information technology
  subject:
    topic: Business-Data processing
  subject:
    topic: Database Management
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Complexity
  subject:
    topic: IT in Business
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 1623
  identifier: 9783540483168
  identifier: https://doi.org/10.1007/3-540-48316-0
  record info:
    record creation date: 121227
    record change date: 20191023121831.0
    record identifier: 978-3-540-48316-8