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.
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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.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Lecture Notes in Artificial Intelligence, 1612 |
Release date | December 2003 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2003 |
Authors | Ralph Bergmann, Klaus-Dieter Althoff, Sean Breen, Mehmet Goeker, Michel Manago, Ralph Traphoener, Stefan Wess |
Dimensions | 235 x 155 x 14mm (L x W x T) |
Format | Paperback |
Pages | 238 |
Edition | 2nd ed. 2003 |
ISBN-13 | 978-3-540-20737-5 |
Barcode | 9783540207375 |
Categories | |
LSN | 3-540-20737-6 |