Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04772-5_31 | EUROCAST |
Keywords | Field | DocType |
case-based reasoning,case base,indexing,indexing technique,applicable similarity,structural health monitoring,case-based decision support system,m-tree approach,different methodology,structural health monitoring.,similarity,contribution deal,different approach,case based reasoning,case base reasoning,indexation | Information retrieval,Structural health monitoring,Computer science,Decision support system,Model-based reasoning,Search engine indexing,Case base,Artificial intelligence,Case-based reasoning,Reasoning system,Machine learning | Conference |
Volume | ISSN | Citations |
5717 | 0302-9743 | 2 |
PageRank | References | Authors |
0.43 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reinhard Stumptner | 1 | 9 | 4.56 |
| Bernhard Freudenthaler | 2 | 15 | 8.75 |
| Josef Küng | 3 | 523 | 59.90 |