Case-based reasoning [electronic resource] : a concise introduction

Responsibility: Beatriz López.
Imprint: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2013.
Physical description: 1 electronic text (xv, 87 p.).
Series: Synthesis digital library of engineering and computer science.; Synthesis lectures on artificial intelligence and machine learning ; #20.

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Description

Creators/Contributors

Author/Creator: López, Beatriz.

Contents/Summary

Bibliography

Includes bibliographical references (p. 69-85).

Contents

Introduction The Case-Base Reasoning and Decision Making Learning Formal Aspects Summary and Beyond.
(source: Nielsen Book Data)

Publisher's summary

Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges.
(source: Nielsen Book Data)

Subjects

Subjects: Case-based reasoning.; knowledge-based systems; problem-solving; reasoning; machine learning; learning from experiences; knowledge reuse

Bibliographic information

Publication date: 2013
Series: Synthesis lectures on artificial intelligence and machine learning, 1939-4616 ; #20
Note: Part of: Synthesis digital library of engineering and computer science.; Series from website.
Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Referenced in: Compendex; INSPEC; Google scholar; Google book search
Note: Also available in print.
Format: Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
ISBN: 9781627050081 (electronic bk.); 9781627050074 (pbk.); 1627050086 (electronic bk.)
DOI: 10.2200/S00490ED1V01Y201303AIM020

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