In order to solve the large data mining technology is widely used in the sequence from the inductive model reflect the lower performance of real-time information and the sequence information of the overall prediction accuracy is not high,bring convenient for the user to the data mining,we proposed the method based on active search and sequence self induction model in this paper construction, through the global active search mode to fit the construction sequence of data model, then in the data sequence model is introduced based on frequent active mechanism to improve search path, which greatly improved the efficiency of search algorithm。 Simulation experiments shows that the active search and sequence since the inductive mechanism can effectively improve the data mining efficiency, especially when there are a large number of node data,which can save a lot of time for data mining or obtaining information, and it also has certain reference significance for the low efficiency of the existing data mining problems.