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Developing Industrial Case-Based Reasoning Applications

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  • 238 Seiten
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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.


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.


Titel: Developing Industrial Case-Based Reasoning Applications
Untertitel: The INRECA Methodology
EAN: 9783540409946
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Veröffentlichung: 22.12.2003
Digitaler Kopierschutz: Wasserzeichen
Anzahl Seiten: 238

Weitere Bände aus der Buchreihe "Lecture Notes in Artificial Intelligence"