Name
Abstract | ||
|---|---|---|
One of the key issues in Case-Based Reasoning (CBR) is the efficient retrieval of cases when the case base is huge. In this paper we propose a case memory organization in two steps: 1) the case memory is organized using an unsupervised clustering technique, and 2) explanations for each cluster are constructed using all the cases associated to each one. The role of the explanations is twofold. On one hand they index the memory and allow CBR to do a selective retrieval. On the other hand, the explanation provide to the user additional information about why the cases have been both clustered together and retrieved. |
Year | Venue | Keywords |
|---|---|---|
2007 | CCIA | selective retrieval,case memory organization,user additional information,unsupervised clustering technique,case base,clustered case memory,case-based reasoning,key issue,efficient retrieval,case memory,clustering |
Field | DocType | Volume |
Computer science,Case base,Artificial intelligence,Cluster analysis,Memory organisation,Machine learning | Conference | 163 |
ISSN | Citations | PageRank |
0922-6389 | 4 | 0.50 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Fornells | 1 | 118 | 9.27 |
| Eva Armengol | 2 | 315 | 32.24 |
| Elisabet Golobardes | 3 | 206 | 20.16 |