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    Sprache: Englisch

    Verlag: Springer, 2002

    3540441093 / 9783540441090

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    Taschenbuch. Zustand: Neu. Advances in Case-Based Reasoning | 6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4-7, 2002 Proceedings | Susan Craw (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2002 | Springer | EAN 9783540441090 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: Springer, 2002

    3540441093 / 9783540441090

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…