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Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
 
 
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Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) [Paperback]

Ralph Bergmann (Author), Klaus-Dieter Althoff (Author), Sean Breen (Author), Mehmet Göker (Author), Michel Manago (Author), Ralph Traphöner (Author), Stefan Wess (Author)


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Paperback, July 20, 1999 --  

Book Description

3540661824 978-3540661825 July 20, 1999

In only a few years time, 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 devided in parts on:
- smarter business with case-based decision support
- developing case-based applications with the INRECA methodology
- using the methodology in various application domains 

The book provides a self-contained introduction to case-based reasoning applications that addresses both R&D professionals and general IT managers interested in this powerful new technology.

Compared to the first edition, improvements and up-dated have been incorporated throughout the entire text. Particularly new is systematic coverage of experience factory applications at various steps and, of course, the references have been extended substantially.


Product Details

  • Paperback: 188 pages
  • Publisher: Springer (July 20, 1999)
  • Language: English
  • ISBN-10: 3540661824
  • ISBN-13: 978-3540661825
  • Product Dimensions: 9.1 x 5.9 x 0.9 inches
  • Shipping Weight: 1.2 pounds
  • Amazon Best Sellers Rank: #10,358,667 in Books (See Top 100 in Books)

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Inside This Book (learn more)
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First Sentence:
This first part of the book, which consists of the chapter 1 through 3, shows how captured experience stored as a set of cases enables smarter business in different areas such as help-desk support, technical diagnosis and maintenance, intelligent sales support, and software development. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
process description sheets, project analysis interviews, method description sheet, cookbook level, catalog search application, common generic level, project analysis report, experience factory approach, initial knowledge acquisition, minimal quality requirements, smarter business decisions, initial case base, specific project level, complex technical equipment, vertical platform, quality improvement paradigm, software engineering experience, software process modeling, reuse scenarios, knowledge containers, product assistant, software process models, new project plan, parametric search, adaptation knowledge
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Analog Devices, Kaidara Advisor, Methodology Applications, Developing Experience Factory Applications, Developing Case-Based Help-Desk Support Systems, Case-Based Reasoning Approaches, Experience Factory Application Development Process, Rule of Thumb, Developing Intelligent Catalog Search Applications, Making Smarter Business Decisions, Solutions Database, Developing Maintenance Applications, Müritz Online, National Semiconductor, Case-Based Product Catalog of Operational Amplifiers, Detailed Description of Process Models, Analyze Processes, Kaidara Commerce, Project Name, Combining Processes, Develop Project Plan, Double Click Part Number, Prototype Building, Using the System, View Data Sheet View
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