TY - GEN
T1 - Explanation of a clustered case memory organization
AU - Fornells, Albert
AU - Armengol, Eva
AU - Golobardes, Elisabet
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - CBR
KW - Case memory organization
KW - Clustering
KW - Explanations
UR - http://www.scopus.com/inward/record.url?scp=84878031469&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878031469
SN - 9781586037987
T3 - Frontiers in Artificial Intelligence and Applications
SP - 153
EP - 160
BT - Artificial Intelligence Research and Development
T2 - 10th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2007
Y2 - 25 October 2007 through 26 October 2007
ER -