Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Computer Aided Systems Theory - EUROCAST 2009 |
| Number of pages | 8 |
| Publication status | Published - 2009 |
Fields of science
- 102001 Artificial intelligence
- 102006 Computer supported cooperative work (CSCW)
- 102010 Database systems
- 102014 Information design
- 102015 Information systems
- 102016 IT security
- 102028 Knowledge engineering
- 102019 Machine learning
- 102022 Software development
- 102025 Distributed systems
- 502007 E-commerce
- 505002 Data protection
- 506002 E-government
- 509018 Knowledge management
- 202007 Computer integrated manufacturing (CIM)
- 102033 Data mining
- 102035 Data science
