Abstract: In order to effectively verify the reliability of identification result of flight data, data-mining method is successfully applied to flight test data analysis and aerodynamic parameter identification in this paper for the first time. Problems existing in clustering, assorting, regression because of insufficient number of flight test data and big differences of information among flight test have preliminarily been resolved. A new way of reliability test of identification result is presented according to aerodynamic characteristic distribution in some certain range of different time and different flights. Through dealing with and analyzing groups of flight data of a certain flying vehicle using this proposed data mining technique, aerodynamic model based on flight data is constructed, coherence of the identification results is checked, it's reliability is evaluated, and the prediction error is given by comparing identification result with ground test data. The whole identification results of groups of flight data of a certain flying vehicle indicate that the method developed in this paper is feasible and effective. This research gives a new way to test reliability of identification result and construct aerodynamic model based on flight data, and it is also useful for verification and validation of CFD and wind tunnel test.