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Successful Case-based Reasoning Applications

  • Book
  • © 2010

Overview

  • Latest research using Based-Based Reasoning paradigms in healthcare
  • Surveys the use of advanced Cased-Based Reasoning Paradigms
  • State-of-the-Art book

Part of the book series: Studies in Computational Intelligence (SCI, volume 305)

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Table of contents (9 chapters)

Keywords

About this book

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.

Editors and Affiliations

  • Universita’ del Piemonte Orientale, Alessandria, Italy

    Stefania Montani

  • University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

About the editors

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 Databases, Temporal Reasoning, and Dependability Analysis. She is author of more than 100 publications, all in international journals, books, or international refereed conferences. She is member of more than 10 program committees of international conferences in 2009/2010, and belongs to the reviewing boards of 3 international journals. In 2010 she will be the program chair of the International Conference on Case-Based Reasoning, further testifying her very active role in the Case-Based Reasoning research community. Professor Lakhmi C. Jain is a Director/Founder of the Knowledge-Based Intelligent Engineering Systems (KES) Centre, located in the University of South Australia. He is a fellow of the Institution of Engineers Australia. His interests focus on the artificial intelligence paradigms and their applications in complex systems, art-science fusion, virtual systems, e-education, e-healthcare, unmanned air vehicles and intelligent agents.

Bibliographic Information

  • Book Title: Successful Case-based Reasoning Applications

  • Editors: Stefania Montani, Lakhmi C. Jain

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-14078-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2010

  • Hardcover ISBN: 978-3-642-14077-8Published: 11 August 2010

  • Softcover ISBN: 978-3-642-26434-4Published: 13 October 2012

  • eBook ISBN: 978-3-642-14078-5Published: 07 September 2010

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 226

  • Number of Illustrations: 104 b/w illustrations, 3 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Health Informatics

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