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: Developing Industrial Case-Based Reasoning Applications
    sub title: The INRECA Methodology
  name:
    name part: Bergmann, Ralph.
    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: Althoff, Klaus-Dieter.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Breen, Sean.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Göker, Mehmet.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Manago, Michel.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Traphöner, Ralph.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Wess, Stefan.
    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: 2003
    edition: 2nd ed. 2003.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXII, 238 p. online resource.
  abstract: In just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts. The book is divided into parts on: - smarter business with case-based decision support; - developing case-based applications using the INRECA methodology; and - using the methodology in various application domains. The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology. In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps; and, of course, the references have been extended substantially.
  table of contents: About this Author -- About this Author -- Smarter Business with Case-Based Decision Support -- 1. Making Smarter Business Decisions in Less Time -- Case-Based Reasoning Approaches -- Selected Applications of the Structural Case-Based Reasoning Approach -- Developing Case-Based Application with the INRECA Methodology -- Practical Guidelines for Developing Case-Based Reasoning Applications -- 5. Professional Case-Based Reasoning Application Development -- 6. Documenting Case-Based Reasoning Development Experience -- Using the Methodology in Different Domains -- 7. Developing Case-Based Help-Desk Support Systems for Complex Technical Equipment -- 8. Developing Intelligent Catalog Search Applications -- 9. Developing Maintenance Applications -- 10. Developing Experience Factory Applications -- A. Compilation of INRECA Methodology Applications.
  note: by Ralph Bergmann, Klaus-Dieter Althoff, Sean Breen, Mehmet Göker, Michel Manago, Ralph Traphöner, Stefan Wess.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Application software
  subject:
    topic: Computational complexity
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Appl. in Administrative Data Processing
  subject:
    topic: Complexity
  subject:
    topic: Operations Research/Decision Theory
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 1612
  identifier: 9783540409946
  identifier: https://doi.org/10.1007/b94998
  record info:
    record creation date: 121227
    record change date: 20191023122632.0
    record identifier: 978-3-540-40994-6