User abnormal transaction account detection method based on mahalanobis distance technology

The invention relates to a user abnormal transaction account detection method based on a mahalanobis distance technology. Compared with the prior art, the defect that abnormal transaction account detection is difficult to meet actual use requirements is overcome. The method comprises the following steps: acquiring user account activity data; constructing an interactive network directed graph; an egonet model is initialized; acquiring data of a to-be-detected user account; feature extraction of the egonet model is carried out; and detecting the abnormal transaction account of the user. According to the method, the transaction activity of the user account under the transaction network model is depicted and analyzed to design the method for detecting the abnormal transaction account of the user based on the structured graphic data, so that the performance of a detection algorithm is improved, and the omission of the abnormal activity is reduced. 本发明涉及一种基于马氏距离技术的用户异常交易账号检测方法，与现有技术相比解决了异常交易账号检测难以满足实际使用需求的缺陷。本发明包括以