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Author: Thomas R. Roth-Berghofer
Publisher: IOS Press
ISBN: 9783898382625
Category : Case-based reasoning
Languages : en
Pages : 268
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Book Description
Author: Thomas R. Roth-Berghofer
Publisher: IOS Press
ISBN: 9783898382625
Category : Case-based reasoning
Languages : en
Pages : 268
Get Book Here
Book Description
Author: Thomas R. Roth-Berghofer
Publisher: Ios PressInc
ISBN: 9781586033392
Category : Computers
Languages : en
Pages : 240
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Book Description
For all technical systems that are widely used, maintenance processes are available. Now that Case-Based Reasoning (CBR) has been used more and more over the last decade, a maintenance methodology was overdue. Thus, it is not only of academic but also of commercial interest to provide structured and cost effective maintenance of deployed CBR systems. The main idea to solve the maintenance problem is to employ a control loop on CBR systems, to observe its performance and to counteract any change that is not desired. Those changes, in principle, come from two sources. Changes may be due to the use of the system, for instance, when it learns new cases, or it may be due to changes of the environment such as changes in legislation, in technology, or in norms. In order to realize the control loop, the most widely used CBR process model was enhance and placed in a broader context that regards the whole life cycle of a CBR system. The four phases Setup, Initialization, Application, and Maintenance form the basis of the SIAM methodology. SIAM extends the INRECA methodology that provides a framework for developing CBR solutions. With SIAM, better maintainable Case-Based Reasoning applications can be developed.
Author: Beatriz López
Publisher: Morgan & Claypool Publishers
ISBN: 1627050078
Category : Computers
Languages : en
Pages : 106
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Book Description
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 designing 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.
Author: Michael M. Richter
Publisher: Springer Science & Business Media
ISBN: 3642401678
Category : Computers
Languages : en
Pages : 550
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Book Description
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.
Author: Ian Watson
Publisher: Morgan Kaufmann
ISBN:
Category : Computers
Languages : en
Pages : 318
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Book Description
This book explains the principles of CBR by describing its origin and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Through case studies and step-by-step examples, this book shows programmers and software managers how to design and implement a reliable, robust CBR system in a real-world environment.
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Languages : en
Pages :
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Book Description
Case-based reasoning solves new problems by re-using the solutions of previously solved similar problems and is popular because many of the knowledge engineering demands of conventional knowledge-based systems are removed. The content of the case knowledge container is critical to the performance of case-based classification systems. However, the knowledge engineer is given little support in the selection of suitable techniques to maintain and monitor the case base. This research investigates the coverage, competence and problem-solving capacity of case knowledge with the aim of developing techniques to model and maintain the case base. We present a novel technique that creates a model of the case base by measuring the uncertainty in local areas of the problem space based on the local mix of solutions present. The model provides an insight into the structure of a case base by means of a complexity profile that can assist maintenance decision-making and provide a benchmark to assess future changes to the case base. The distribution of cases in the case base is critical to the performance of a case-based reasoning system. We argue that classification boundaries represent important regions of the problem space and develop two complexity-guided algorithms which use boundary identification techniques to actively discover cases close to boundaries. We introduce a complexity-guided redundancy reduction algorithm which uses a case complexity threshold to retain cases close to boundaries and delete cases that form single class clusters. The algorithm offers control over the balance between maintaining competence and reducing case base size. The performance of a case-based reasoning system relies on the integrity of its case base but in real life applications the available data invariably contains erroneous, noisy cases. Automated removal of these noisy cases can improve system accuracy. In addition, error rates can often be reduced by removing cases to give smoother decision.
Author: Sankar K. Pal
Publisher: John Wiley & Sons
ISBN: 0471644668
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
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.
Author: Peter Funk
Publisher: Springer Science & Business Media
ISBN: 3540228829
Category : Computers
Languages : en
Pages : 835
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Book Description
This book constitutes the refereed proceedings of the 7th European Conference on Case-Based Reasoning, ECCBR 2004, held in Madrid, Spain in August/September 2004. The 56 revised full papers presented together with an invited paper and the abstract of an invited talk were carefully reviewed and selected from 85 submissions. All current issues in case-based reasoning, ranging from theoretical and methodological issues to advanced applications in various fields are addressed.
Author: Hector Munoz-Avila
Publisher: Springer
ISBN: 3540318550
Category : Computers
Languages : en
Pages : 667
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Book Description
The conference took place during August 23–26, 2005 at the downtown campus of DePaul University, in the heart of Chicago’s downtown
Author: Markus Stumptner
Publisher: Springer Science & Business Media
ISBN: 3540429603
Category : Computers
Languages : en
Pages : 678
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Book Description
This book constitutes the refereed proceedings of the 14th Australian Joint Conference on Artificial Intelligence, AI 2001, held in Adelaide, Australia, in December 2001. The 55 revised full papers presented together with one invited contribution were carefully reviewed and selected from a total of 100 submissions. The papers cover the whole range of artificial intelligence from theoretical and foundational issues to advanced applications in a variety of fields.
