Successful Case-based Reasoning Applications

October 13, 2012|
Successful Case-based Reasoning Applications by Stefania Montani
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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.
Stefania Montani (PhD in Bioengineering and Medical Informatics 2001, University of Pavia, Italy) is an Assistant Professor in Computer Science, at the Computer Science Department of the University of Piemonte Orientale, Alessandria, Italy. Her research interests include Case-Based Reasoning, Decision Support Systems, Temporal Database...
Title:Successful Case-based Reasoning Applications
Product dimensions:226 pages, 9.25 X 6.1 X 0 in
Shipping dimensions:226 pages, 9.25 X 6.1 X 0 in
Published:October 13, 2012
Appropriate for ages:All ages
ISBN - 13:9783642264344

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