摘要: Spatio-temproal data mining is one of important topics in data mining research, in which spatio-temporal forecast is the most widely used. By analyzing the limitation of current spatio-temporal forecast methods, mis paper presents... 展开 Spatio-temproal data mining is one of important topics in data mining research, in which spatio-temporal forecast is the most widely used. By analyzing the limitation of current spatio-temporal forecast methods, mis paper presents an integrated algorithm based on data fusing and method fusing, and applies the method successfully to railway passenger flow forecast. Experimental results show the algorithm is effective. 收起