ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
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This contribution deals with the importance of similarity in Case-based Reasoning and the application for problems in the field of Structural Health Monitoring. Case-based Reasoning and different methodologies for the retrieval of knowledge stored in a case base are presented. Furthermore, different approaches for object representation and applicable similarity measures including indexing techniques to reduce the number of required distance-calculations are introduced, particularly the M-tree approach. Finally, a prototype for a Case-based Decision Support System for Structural Health Monitoring is described.