Abstract
We present CaseAdvisor system for supporting help desk applications. CaseAdvisor improves existing case based reasoning systems on several fronts. Its decision forests help compress a large case base by allowing very similar cases to be merged together. Its maintenance ability allows cases to be compared and redundant cases weeded out. In this article we present the application area and characteristics of CaseAdvisor as well as some of its main advantages over the existing CBR systems.
| Original language | English |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | IJCAI International Joint Conference on Artificial Intelligence |
| Volume | 1 |
| Publication status | Published - 1997 |
| Externally published | Yes |
| Event | 15th International Joint Conference on Artificial Intelligence, IJCAI 1997 - Nagoya, Aichi, Japan Duration: 23 Aug 1997 → 29 Aug 1997 |