Case-Based Reasoning (Record no. 57481)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04834nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-40167-1 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112222.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 131031s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642401671 |
| -- | 978-3-642-40167-1 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 100 1# - AUTHOR NAME | |
| Author | Richter, Michael M. |
| 245 10 - TITLE STATEMENT | |
| Title | Case-Based Reasoning |
| Sub Title | A Textbook / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVIII, 546 p. 180 illus., 7 illus. in color. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Part I - Basics and Preliminaries -- Chap. 1 - Introduction -- Chap. 2 - Basic CBR Elements -- Chap. 3 - Extended View -- Chap. 4 - Application Examples -- Part II - Core Methods -- Chap. 5 - Case Representations -- Chap. 6 - Basic Similarity Topics -- Chap. 7 - Complex Similarity Topics -- Chap. 8 - Retrieval -- Chap. 9 - Adaptation -- Chap. 10 - Evaluation, Revisions, and Learning -- Chap. 11 - Development and Maintenance -- Part III - Advanced Elements -- Chap. 12 - Advanced CBR Elements -- Chap. 13 - Advanced Similarity Topics -- Chap. 14 - Advanced Retrieval -- Chap. 15 - Uncertainty -- Chap. 16 - Probabilities -- Part IV - Complex Knowledge Sources -- Chap. 17 - Textual CBR -- Chap. 18 - Images -- Chap. 19 - Sensor Data and Speech -- Chap. 20 - Conversational CBR -- Chap. 21 - Knowledge Management -- Part V - Appendices -- Chap. 22 - Basic Formal Definitions and Methods -- Chap. 23 - Relations and Comparisons with Other Techniques. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based reasoning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem-solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines. This textbook presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for precise reasoning, and to demonstrate the range of techniques, methods, and tools available for many applications. In the chapters in Part I the authors present the basic elements of CBR without assuming prior reader knowledge; Part II explains the core methods, in particular case representations, similarity topics, retrieval, adaptation, evaluation, revisions, learning, development, and maintenance; Part III offers advanced views of these topics, additionally covering uncertainty and probabilities; and Part IV shows the range of knowledge sources, with chapters on textual CBR, images, sensor data and speech, conversational CBR, and knowledge management. The book concludes with appendices that offer short descriptions of the basic formal definitions and methods, and comparisons between CBR and other techniques. The authors draw on years of teaching and training experience in academic and business environments, and they employ chapter summaries, background notes, and exercises throughout the book. It's suitable for advanced undergraduate and graduate students of computer science, management, and related disciplines, and it's also a practical introduction and guide for industrial researchers and practitioners engaged with knowledge engineering systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Weber, Rosina O. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-40167-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
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| -- | computer |
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| -- | rdamedia |
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| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information technology. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Business |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computers. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Application software. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | IT in Business. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information Systems and Communication Service. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Applications. |
| 912 ## - | |
| -- | ZDB-2-SCS |
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