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.
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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.
Innovations in Case-Based Reasoning Applications.- Case-Based Reasoning for Medical and Industrial Decision Support Systems.- Development of Industrial Knowledge Management Applications with Case-Based Reasoning.- Case Based Reasoning for Supporting Strategy Decision Making in Small and Medium Enterprises.- Heterogeneity in Ontological CBR Systems.- The Adaptation Problem in Medical Case–Based Reasoning Systems.- Prototype–Based Classification in Unbalanced Biomedical Problems.- Case–Based Ranking for Environmental Risk Assessment.- CookIIS – A Successful Recipe Advisor and Menu Creator.
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Case-based reasoning offers tremendous advantages over other AI based techniques in all those fields where experiential knowledge is readily available.
This research book presents a sample of successful applications of case-based reasoning. The contributions include:
• Introduction to case-based reasoning
• Case-based reasoning for medical and industrial support systems
• Industrial knowledge management applications
• Decision making in small and medium enterprises
• Heterogeneity in ontological CBR systems
• The adaptation problem in medical case-based reasoning systems
• Prototype-based classification in unbalanced biomedical problems
• Case-based ranking for environmental risk assessment
• Recipe advisor and menu creator
The book is directed to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.
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Latest research using Based-Based Reasoning paradigms in healthcare Surveys the use of advanced Cased-Based Reasoning Paradigms State-of-the-Art book
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Product details
ISBN
9783642264344
Published
2012-10-13
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Height
235 mm
Width
155 mm
Age
Research, P, 06
Language
Product language
Engelsk
Format
Product format
Heftet
Number of pages
226
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