TY - GEN
T1 - Mining associated implication networks
T2 - 2nd IEEE International Conference on Data Mining, ICDM '02
AU - Tse, Phil
AU - Liu, Jiming
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - Current attempts to analyze international financial markets include the use of financial technical analysis and data mining techniques. In this paper, we propose a new approach that incorporates implication networks and association rules to form an associated network structure. The proposed approach explicitly addresses the issue of local vs. global influences between financial markets.
AB - Current attempts to analyze international financial markets include the use of financial technical analysis and data mining techniques. In this paper, we propose a new approach that incorporates implication networks and association rules to form an associated network structure. The proposed approach explicitly addresses the issue of local vs. global influences between financial markets.
UR - http://www.scopus.com/inward/record.url?scp=78149345279&partnerID=8YFLogxK
M3 - Conference proceeding
AN - SCOPUS:78149345279
SN - 0769517544
SN - 9780769517544
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 689
EP - 692
BT - Proceedings - 2002 IEEE International Conference on Data Mining, ICDM 2002
Y2 - 9 December 2002 through 12 December 2002
ER -