Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1612)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (12 chapters)
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Front Matter
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About this Author
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Smarter Business with Case-Based Decision Support
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Front Matter
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Developing Case-Based Application with the INRECA Methodology
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Front Matter
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Using the Methodology in Different Domains
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Developing Industrial Case-Based Reasoning Applications
Book Subtitle: The INRECA Methodology
Authors: Ralph Bergmann, Klaus-Dieter Althoff, Sean Breen, Mehmet Göker, Michel Manago, Ralph Traphöner, Stefan Wess
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b94998
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-20737-5Published: 09 December 2003
eBook ISBN: 978-3-540-40994-6Published: 22 December 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 2
Number of Pages: XXII, 238
Topics: Artificial Intelligence, Computer Appl. in Administrative Data Processing, Complexity, Operations Research/Decision Theory