TY - GEN
T1 - Finding interesting rules exploiting rough memberships
AU - Dey, Lipika
AU - Ahmad, Amir
AU - Kumar, Sachin
PY - 2005
Y1 - 2005
N2 - In this paper we propose a method to identify significant attributes which aid in good classification, as well as introduce certain degrees of roughness. Exception rules are formed with these attributes using the fact that exceptional elements have high rough memberships to more than one distinct class.
AB - In this paper we propose a method to identify significant attributes which aid in good classification, as well as introduce certain degrees of roughness. Exception rules are formed with these attributes using the fact that exceptional elements have high rough memberships to more than one distinct class.
UR - http://www.scopus.com/inward/record.url?scp=33646726966&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646726966&partnerID=8YFLogxK
U2 - 10.1007/11590316_118
DO - 10.1007/11590316_118
M3 - Conference contribution
AN - SCOPUS:33646726966
SN - 3540305068
SN - 9783540305064
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 732
EP - 737
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 -