๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Successful Case-based Reasoning Applications-2

โœ Scribed by Stefania Montani, Lakhmi C. Jain (auth.), Stefania Montani, Lakhmi C. Jain (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2014
Tongue
English
Leaves
166
Series
Studies in Computational Intelligence 494
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Case-based reasoning paradigms offer automatic reasoning capabilities which are useful for the implementation of human like machines in a limited sense.

This research book is the second volume in a series devoted to presenting Case-based reasoning (CBR) applications. The first volume, published in 2010, testified the flexibility of CBR, and its applicability in all those fields where experiential knowledge is available. This second volume further witnesses the heterogeneity of the domains in which CBR can be exploited, but also reveals some common directions that are clearly emerging in recent years.

This book will prove useful to the application engineers, scientists, professors and students who wish to develop successful case-based reasoning applications.

โœฆ Table of Contents


Front Matter....Pages i-vii
Case-Based Reasoning Systems....Pages 1-6
A Study of Two-Phase Retrieval for Process-Oriented Case-Based Reasoning....Pages 7-27
Non-exhaustive Trace Retrieval for Managing Stroke Patients....Pages 29-42
Evaluating a Case-Based Reasoning Architecture for the Intelligent Monitoring of Business Workflows....Pages 43-54
The COLIBRI Platform: Tools, Features and Working Examples....Pages 55-85
Case-Based Reasoning to Support Annotating Manuscripts in Digital Archives....Pages 87-120
Taaable : A Case-Based System for Personalized Cooking....Pages 121-162

โœฆ Subjects


Computational Intelligence; Artificial Intelligence (incl. Robotics)


๐Ÿ“œ SIMILAR VOLUMES


Successful Case-based Reasoning Applicat
โœ Stefania Montani, Lakhmi C. Jain (auth.), Stefania Montani, Lakhmi C. Jain (eds. ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>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: โ€ข Introduction to case-based

Successful Case-based Reasoning Applicat
โœ Stefania Montani (editor) ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer ๐ŸŒ English

<span>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 boo

Case-Based Reasoning
โœ Janet Kolodner (Auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1993 ๐Ÿ› Elsevier Inc, Morgan Kaufmann ๐ŸŒ English

<p>Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As

Case-Based Reasoning Technology: From Fo
โœ Michael M. Richter (auth.), Mario Lenz, Hans-Dieter Burkhard, Brigitte Bartsch-S ๐Ÿ“‚ Library ๐Ÿ“… 1998 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

This state-of-the-art survey presents a coherent summary of research and development in case-based reasoning (CBR) undertaken in Germany in recent years. The book opens with a general introduction to CBR presenting the basic ideas and concepts, setting the terminology, and looking at CBR from some n

Case-Based Approximate Reasoning
โœ Eyke Hullermeier ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More p