Case-Based Approximate Reasoning

Case-Based Approximate Reasoning
Author: Eyke Hüllermeier
Publisher: Springer Science & Business Media
Total Pages: 384
Release: 2007-03-20
Genre: Computers
ISBN: 1402056958

Making use of different frameworks of approximate reasoning and reasoning under uncertainty, notably probabilistic and fuzzy set-based techniques, this book develops formal models of the above inference principle, which is fundamental to CBR. The case-based approximate reasoning methods thus obtained especially emphasize the heuristic nature of case-based inference and aspects of uncertainty in CBR.

Advances in Case-Based Reasoning

Advances in Case-Based Reasoning
Author: Enrico Blanzieri
Publisher: Springer
Total Pages: 545
Release: 2003-07-31
Genre: Computers
ISBN: 3540445277

This book constitutes the refereed proceedings of the 5th European Workshop on Case-Based Reasonning, EWCBR 2000, held in Trento, Italy in September 2000. The 40 revised full papers presented together with two invited contributions were carefully reviewed and selected for inclusion in the book. All curves issues in case-based reasoning, ranging from foundational and theoretical aspects to advanced applications in various fields are addressed.

Case-Based Reasoning Research and Development

Case-Based Reasoning Research and Development
Author: David B. Leake
Publisher: Springer Science & Business Media
Total Pages: 668
Release: 1997-07-09
Genre: Business & Economics
ISBN: 9783540632337

This book constitutes the refereed proceedings of the Second International Conference on Case-Based Reasoning, ICCBR-97, held in Providence, RI, USA, in July 1997. The volume presents 39 revised full scientific papers selected from a total of 102 submissions; also included are 20 revised application papers. Among the topics covered are representation and formalization, indexing and retrieval, adaptation, learning, integrated approaches, creative reasoning, CBR and uncertainty. This collection of papers is a comprehensive documentation of the state of the art in CBR research and development.

Case-Based Reasoning

Case-Based Reasoning
Author: Michael M. Richter
Publisher: Springer Science & Business Media
Total Pages: 550
Release: 2013-10-31
Genre: Computers
ISBN: 3642401678

This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise case-based reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications.

Case-Based Reasoning

Case-Based Reasoning
Author: Beatriz Whiteson
Publisher: Springer Nature
Total Pages: 87
Release: 2022-05-31
Genre: Computers
ISBN: 3031015622

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.

Successful Case-based Reasoning Applications-2

Successful Case-based Reasoning Applications-2
Author: Stefania Montani
Publisher: Springer
Total Pages: 166
Release: 2013-09-03
Genre: Technology & Engineering
ISBN: 3642387365

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.

Case-Based Reasoning Research and Development

Case-Based Reasoning Research and Development
Author: Ashwin Ram
Publisher: Springer
Total Pages: 508
Release: 2012-02-04
Genre: Computers
ISBN: 3642232914

This book constitutes the refereed proceedings of the 19th International Conference on Case-Based Reasoning, held in London, UK, in September 2011. The 32 contributions presented together with 3 invited talks were carefully reviewd and selected from 67 submissions. The presentations and posters covered a wide range of CBR topics of interest both to practitioners and researchers, including CBR methodology covering case representation, similarity, retrieval, and adaptation; provenance and maintenance; recommender systems; multi-agent collaborative systems; data mining; time series analysis; Web applications; knowledge management; legal reasoning; healthcare systems and planning systems.

An Introduction to Fuzzy Logic and Fuzzy Sets

An Introduction to Fuzzy Logic and Fuzzy Sets
Author: James J. Buckley
Publisher: Springer Science & Business Media
Total Pages: 300
Release: 2002-01-11
Genre: Computers
ISBN: 9783790814477

This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.

Foundations of Soft Case-Based Reasoning

Foundations of Soft Case-Based Reasoning
Author: Sankar K. Pal
Publisher: John Wiley & Sons
Total Pages: 300
Release: 2004-07-01
Genre: Technology & Engineering
ISBN: 0471644668

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
Publisher: Springer Science & Business Media
Total Pages: 380
Release: 2012-12-06
Genre: Computers
ISBN: 1447106873

This text demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning, that is, for real-life decision-making or recognition problems. Comprising contributions from experts, it introduces the basic concepts and theories, and includes many reports on real-life applications. This book is of interest to graduate students and researchers in computer science, electrical engineering and information technology, as well as researchers and practitioners from the fields of systems design, pattern recognition and data mining.