TY - GEN
T1 - Mining Influential Association Rules
AU - Zhang, X.
AU - Chen, Z.
AU - Zhu, Q.
PY - 2002
Y1 - 2002
N2 - Recently integration of OLAP and data mining has drawn much attention, but there is still a lack of concrete result. In this paper we explore one aspect of such integration, called influential association rule mining. We first introduce the basic idea of association rule mining, and the two approaches, called IARM (Influential Association Rule Mining) and its improvement, IARMBM (Influential Association Rule Mining with BitMap) are briefly described. In addition, related experiments and comparisons are also reported.
AB - Recently integration of OLAP and data mining has drawn much attention, but there is still a lack of concrete result. In this paper we explore one aspect of such integration, called influential association rule mining. We first introduce the basic idea of association rule mining, and the two approaches, called IARM (Influential Association Rule Mining) and its improvement, IARMBM (Influential Association Rule Mining with BitMap) are briefly described. In addition, related experiments and comparisons are also reported.
UR - http://www.scopus.com/inward/record.url?scp=1642370612&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=1642370612&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:1642370612
SN - 0970789017
SN - 9780970789013
T3 - Proceedings of the Joint Conference on Information Sciences
SP - 490
EP - 493
BT - Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002
A2 - Caulfield, J.H.
A2 - Chen, S.H.
A2 - Cheng, H.D.
A2 - Duro, R.
A2 - Caufield, J.H.
A2 - Chen, S.H.
A2 - Cheng, H.D.
A2 - Duro, R.
A2 - Honavar, V.
T2 - Proceedings of the 6th Joint Conference on Information Sciences, JCIS 2002
Y2 - 8 March 2002 through 13 March 2002
ER -