Successful Case-based Reasoning Applications (Paperback, 2010 ed.)

Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this book, we have collected a selection of papers on very recent CBR applications. These, after an in-depth analysis of their specific application domain needs, propose proper methodological solutions and give encouraging evaluation results, which have in some cases led to the commercialization step. The collected contributions demonstrate the capability of CBR to solve or handle issues which would be too difficult to manage with other classical AI methods and techniques, such as rules or models. The heterogeneity of the involved application domains indicates the flexibility of CBR, and its applicability in all those fields where experiential knowledge is (readily) available.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Computational Intelligence, 305
Release date:	October 2012
First published:	2010
Editors:	Stefania Montani
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	226
Edition:	2010 ed.
ISBN-13:	978-3-642-26434-4
Categories:	Books > Medicine > General issues > Medical equipment & techniques > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-642-26434-4
Barcode:	9783642264344

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