TY - GEN
T1 - Learning similarity measure of nominal features in CBR classifiers
AU - Li, Yan
AU - Shiu, Chi Keung Simon
AU - Pal, Sankar Kumar
AU - Liu, James Nga Kwok
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Nominal feature is one type of symbolic features, whose feature values are completely unordered. The most often used existing similarity metrics for symbolic features is the Hamming metric, where similarity computation is coarse-grained and may affect the performance of case retrieval and then the classification accuracy. This paper presents a GA-based approach for learning similarity measure of nominal features for CBR classifiers. Based on the learned similarities, the classification accuracy can be improved, and the importance of each nominal feature can be analyzed to enhance the understanding of the used data sets.
AB - Nominal feature is one type of symbolic features, whose feature values are completely unordered. The most often used existing similarity metrics for symbolic features is the Hamming metric, where similarity computation is coarse-grained and may affect the performance of case retrieval and then the classification accuracy. This paper presents a GA-based approach for learning similarity measure of nominal features for CBR classifiers. Based on the learned similarities, the classification accuracy can be improved, and the importance of each nominal feature can be analyzed to enhance the understanding of the used data sets.
UR - http://www.scopus.com/inward/record.url?scp=33646734888&partnerID=8YFLogxK
U2 - 10.1007/11590316_126
DO - 10.1007/11590316_126
M3 - Conference article published in proceeding or book
SN - 3540305068
SN - 9783540305064
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 780
EP - 785
BT - Pattern Recognition and Machine Intelligence - First International Conference, PReMI 2005, Proceedings
T2 - 1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005
Y2 - 20 December 2005 through 22 December 2005
ER -