Case-Based Reasoning Research and Development [electronic resource] : 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast Northern Ireland, UK, August 13-16, 2007 Proceedings

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Tác giả: Michael M Richter, Rosina O Weber

Ngôn ngữ:

ISBN-13: 978-3540741411

Ký hiệu phân loại: 006.3 Artificial intelligence

Thông tin xuất bản: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

Mô tả vật lý: XIII, 538 p. , online resource.

Bộ sưu tập: Tài liệu truy cập mở

ID: 319988

 The International Conference on Case-Based Reasoning (ICCBR) is the pre-eminent international meeting on case-based reasoning (CBR). ICCBR 2007 (http://www.iccbr.org./iccbr07/) was the seventh in this series, presenting the most significant contributions in the field of CBR. The conference took place in Belfast, Northern Ireland, UK, during August 13-16, 2007. ICCBR and its sister conferences ECCBR (European Conference on Case-Based Reasoning) alternate every year. ICCBR 2007 followed a series of six successful international conferences previously held in Sesimbra, Portugal (1995)
  Providence, Rhode Island, USA (1997)
  Seeon, Germany (1999)
  Vancouver, Canada (2001)
  Trondheim, Norway (2003)
  and C- cago, Illinois, USA (2005). The European Conferences on Case-Based Reasoning (ECCBR) were held as European workshops in Kaiserslautern, Germany (1993)
  Chantilly, France (1994)
  Lausanne, Switzerland (1996)
  Dublin, Ireland (1998)
  and Trento, Italy (2000)
  and as European conferences in Aberdeen, UK (2002)
  Madrid, Spain (2004)
  and Lykia World, Turkey (2006). Days one, two, and four comprised presentations and posters on theoretical and - plied CBR research. In order to emphasize the importance of applications, the tra- tional industry day was converted into an Industry Program held on the second day, in the middle of the conference. Day three was devoted to five workshops: Case-Based Reasoning and Context-Awareness
  Case-Based Reasoning in the Health Sciences
  Textual Case-Based Reasoning: Beyond Retrieval
  Uncertainty and Fuzziness in Case- Based Reasoning
  and Knowledge Discovery and Similarity.
1. 
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