The embodiment of the invention provides a method and device for mining a user traffic operation scene. The method comprises the following steps: acquiring first flow data of a user in each first timeperiod within a preset time length, and determining a first outlier peak time period of each user according to a density clustering algorithm; according to a dynamic time warping algorithm, the similarity of first outlier peak periods among the users is determined, and according to the similarity, the users of the same category are determined; obtaining first Internet surfing behavior data of theusers of the same category in a corresponding first outlier peak period, clustering the first Internet surfing behavior data according to an adaptive neural network clustering algorithm, and determining a first Internet surfing behavior tag of each user in the same category; and determining a first traffic operation scene of each user according to the first outlier peak period of each user and the first Internet behavior tag. According to the embodiment of the invention, it is ensured that the screened users have the characteristic that the flow is easy to excite, and the user flow mining efficiency and the flow mining purposiveness are improved.