Title :
Business Association Rule Mining Base on the Fuzzy Neural Networks
Author :
Jinze Zhang ; Yuanyuan Zhang
Author_Institution :
Inf. Eng. Dept., TianJinBohai Vocational Tech. Coll., Tianjin, China
Abstract :
By the advantage of fuzzy system in rule extraction, fuzzy neural networks make up the disadvantage of neural networks. And make use of fuzzy neural networks on business rules and data mining. Structure fuzzy neural network and training it, and then make the extraction rules steps less complicated by network cut out. In the end use threshold to filtering rules and extract effective business association rules.
Keywords :
business data processing; data mining; fuzzy neural nets; business association rule mining; data mining; extraction rules; filtering rules; fuzzy neural networks; fuzzy system; rule extraction; Association rules; Biological neural networks; Business; Fuzzy control; Fuzzy neural networks; Training; Association rules; Data Mining; Fuzzy Neural Networks; Membership Function;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.255