Name
Abstract | ||
|---|---|---|
. Conversational case-based reasoning (CBR) shells (e.g., Inference's CBR Express) are commercially successful tools for supportingthe development of help desk and related applications. In contrast torule-based expert systems, they capture knowledge as cases rather thanmore problematic rules, and they can be incrementally extended. However,rather than eliminate the knowledge engineering bottleneck, theyrefocus it on case engineering, the task of carefully authoring cases accordingto... |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1007/3-540-63233-6_498 | ICCBR |
Keywords | Field | DocType |
refining conversational case libraries,knowledge engineering,expert system | Bottleneck,Data mining,Inference,Computer science,Expert system,Software,Knowledge engineering,Artificial intelligence,Case-based reasoning,Machine learning,Desk | Conference |
Volume | ISBN | Citations |
1266 | 3-540-63233-6 | 86 |
PageRank | References | Authors |
8.18 | 10 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David W. Aha | 1 | 4103 | 620.93 |
| Len Breslow | 2 | 247 | 24.59 |