TY - GEN
T1 - A genetic network programming based method to mine generalized association rules with ontology
AU - Yang, Guangfei
AU - Shimada, Kaoru
AU - Mabu, Shingo
AU - Hirasawa, Kotaro
AU - Hu, Jinglu
PY - 2007/12/1
Y1 - 2007/12/1
N2 - In this paper, we propose a Genetic Network Programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.
AB - In this paper, we propose a Genetic Network Programming based method to mine generalized association rules with ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules. Two kinds of fitness functions each with four kinds of policies and a new genetic operator are developed to speed up searching the rule space.
KW - Dynamic threshold approach
KW - Generalized association rules
KW - Genetic network programming
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=50249171220&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249171220&partnerID=8YFLogxK
U2 - 10.1109/SICE.2007.4421450
DO - 10.1109/SICE.2007.4421450
M3 - Conference contribution
AN - SCOPUS:50249171220
SN - 4907764286
SN - 9784907764289
T3 - Proceedings of the SICE Annual Conference
SP - 2715
EP - 2722
BT - SICE Annual Conference, SICE 2007
T2 - SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
Y2 - 17 September 2007 through 20 September 2007
ER -