抄録
A new fuzzy rule mining method based on Generalized Genetic Network Programming(Generalized GNP) has been proposed to extract important time related association rules from sequential numerical database. The fuzzy set theory is applied to the data handling of continuous data in this paper. A new classification method based on extracted rules is also proposed to predict the future traffic density of each road in road networks. Experiments on traffic density prediction are carried out using the proposed methods and the results show that the proposed methods are available to find a variety of rules from the large database effectively and efficiently and improve the classification accuracy.
