| Advances in Case-Based Reasoning: 6th European Conference, Eccbr 2002 Aberdeen, Scotland, Uk, September 4-7, 2002 Proceedings 2002 Edition Contributor(s): Craw, Susan (Editor), Preece, Alun (Editor) |
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ISBN: 3540441093 ISBN-13: 9783540441090 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: August 2002 Annotation: This book constitutes the refereed preceedings of the 6th European Conference on Case-Based Reasoning, ECCBR 2002, held in Aberdeen, Scotland, UK in September 2002The 31 revised full research papers and 14 revised application papers presented togehter with 2 invited contributions were carefully reviewed and selected from numerous submissions. All current issues in case-based reasoning, ranging from foundational and methodological issues to advanced applications in various fields are addressed. |
| Additional Information |
| BISAC Categories: - Computers | Expert Systems - Mathematics | Logic - Business & Economics | Operations Research |
| Dewey: 006.33 |
| LCCN: 2002030393 |
| Series: Lecture Notes in Computer Science / Lecture Notes in Artific |
| Physical Information: 0.98" H x 6.54" W x 9.24" (2.08 lbs) 656 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The papers collected in this volume were presented at the 6th European C- ference on Case-Based Reasoning (ECCBR 2002) held at The Robert Gordon University in Aberdeen, UK. This conference followed a series of very succe- ful well-established biennial European workshops held in Trento, Italy (2000), Dublin, Ireland (1998), Lausanne, Switzerland (1996), and Paris, France (1994), after the initial workshop in Kaiserslautern, Germany (1993). These meetings have a history of attracting ?rst-class European and international researchers and practitioners in the years interleaving with the biennial international co- terpart ICCBR; the 4th ICCBR Conference was held in Vancouver, Canada in 2001. Proceedings of ECCBR and ICCBR conferences are traditionally published by Springer-Verlag in their LNAI series. Case-Based Reasoning (CBR) is an AI problem-solving approach where pr- lems are solved by retrieving and reusing solutions from similar, previously solved problems, and possibly revising the retrieved solution to re?ect di?erences - tween the new and retrieved problems. Case knowledge stores the previously solved problems and is the main knowledge source of a CBR system. A main focus of CBR research is the representation, acquisition and maintenance of case knowledge. Recently other knowledge sources have been recognized as important: indexing, similarity and adaptation knowledge. Signi?cant knowledge engine- ing e?ort may be needed for these, and so the representation, acquisition and maintenance of CBR knowledge more generally have become important. |