Foundations Of Soft Case Based Reasoning


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Foundations of Soft Case-Based Reasoning


Foundations of Soft Case-Based Reasoning

Author: Sankar K. Pal

language: en

Publisher: John Wiley & Sons

Release Date: 2004-06-17


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Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.

Soft Computing in Case Based Reasoning


Soft Computing in Case Based Reasoning

Author: Sankar Kumar Pal

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems. Comprising contributions from experts from all over the world, it: - Provides an introduction to CBR and soft computing, and the relevance of their integration - Evaluates the strengths and weaknesses of CBR in its current form - Presents recent developments and significant applications in domains such as data-mining, medical diagnosis, knowledge-based expert systems, banking, and forensic investigation - Addresses new information on developing intelligent systems This book will be of particular interest to graduate students and researchers in computer science, electrical engineering and information technology but it will also be of interest to researchers and practitioners in the fields of systems design, pattern recognition and data mining.

Case-Based Reasoning Research and Development


Case-Based Reasoning Research and Development

Author: Kerstin Bach

language: en

Publisher: Springer Nature

Release Date: 2019-09-02


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This book constitutes the refereed proceedings of the 27th International Conference on Case-Based Reasoning Research and Development, ICCBR 2019, held in Otzenhausen, Germany, in September 2019. The 26 full papers presented in this book were carefully reviewed and selected from 43 submissions. 15 were selected for oral presentation and 11 for poster presentation. The theme of ICCBR 2019, "Explainable AI (XAI)," was highlighted by several activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction.