TY - GEN
T1 - A methodology for analyzing case retrieval from a clustered case memory
AU - Fornells, Albert
AU - Golobardes, Elisabet
AU - Martorell, Josep Maria
AU - Garrell, Josep Maria
AU - Macià, Núria
AU - Bernadó, Ester
PY - 2007
Y1 - 2007
N2 - Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although the computational time is improved, the accuracy rate may be degraded if the clusters are not representative enough due to data geometry. This paper proposes a methodology for allowing the expert to analyze the case retrieval strategies from a clustered case memory according to the required computational time improvement and the maximum accuracy reduction accepted. The mechanisms used to assess the data geometry are the complexity measures. This methodology is successfully tested on a case memory organized by a Self-Organization Map.
AB - Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although the computational time is improved, the accuracy rate may be degraded if the clusters are not representative enough due to data geometry. This paper proposes a methodology for allowing the expert to analyze the case retrieval strategies from a clustered case memory according to the required computational time improvement and the maximum accuracy reduction accepted. The mechanisms used to assess the data geometry are the complexity measures. This methodology is successfully tested on a case memory organized by a Self-Organization Map.
KW - Case memory organization
KW - Case retrieval
KW - Complexity measures
KW - Self-organization maps
KW - Soft casebased reasoning
UR - http://www.scopus.com/inward/record.url?scp=38049017087&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74141-1_9
DO - 10.1007/978-3-540-74141-1_9
M3 - Conference contribution
AN - SCOPUS:38049017087
SN - 9783540741381
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 122
EP - 136
BT - Case-Based Reasoning Research and Development - 7th International Conference on Case-Based Reasoning, ICCBR 2007, Proceedings
PB - Springer Verlag
T2 - 7th International Conference on Case-Based Reasoning, ICCBR 2007
Y2 - 13 August 2007 through 16 August 2007
ER -