Ralph Bergmann; Klaus-Dieter Althoff; Sean Breen; Mehmet Göker; Michel Manago; Ralph Traphöner; Stefan Wess
Lecture Notes in Artificial Intelligence (LNAI), Vol. 1612, Springer, 2003.
Zusammenfassung
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.
@book{pub9680,
author = {
Bergmann, Ralph
and
Althoff, Klaus-Dieter
and
Breen, Sean
and
Göker, Mehmet
and
Manago, Michel
and
Traphöner, Ralph
and
Wess, Stefan
},
title = {Developing Industrial Case-Based Reasoning Applications},
series = {Lecture Notes in Artificial Intelligence (LNAI)},
year = {2003},
volume = {1612},
pages = {247},
publisher = {Springer}
}
Deutsches Forschungszentrum für Künstliche Intelligenz German Research Center for Artificial Intelligence