Name
Abstract | ||
|---|---|---|
Two issues are central to effective case-based reasoning: deriving good indices for retrieving cases and effectively using those cases. A number of straightforward methods for using cases, such as interpolation, can provide good results. However, effective indexing strategies have proven more elusive. This paper presents a new and effective approach based on qualitative modelling. We build a partial or complete qualitative model of a physical system, and use this model to derive the minimal sets of parameters relevant to each of the desired inputs. This reduces the number of attributes used for indexing, thereby increasing the density of cases in the parameter space. We present results showing the effectiveness of the approach on a simplified sewage treatment plant. |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1007/3-540-60364-6_32 | EWCBR |
Keywords | Field | DocType |
case indices,qualitative models,indexation,use case,sewage treatment plant,parameter space,case base reasoning | Mathematical optimization,Physical system,Interpolation,Search engine indexing,Parameter space,Process control,Mathematics | Conference |
ISBN | Citations | PageRank |
3-540-60364-6 | 6 | 0.72 |
References | Authors | |
7 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bradley L. Richards | 1 | 209 | 37.47 |