Method for rapidly screening outlier data from massive data

The invention provides a method for rapidly screening outlier data from massive data. The method takes a full consideration of characteristics of mining and computing time of outlier data from massive data and space complexity, adopts random sampling to reduce the quantity of samples involved in computation, and adopts parallel computing to increase the computing speed, thereby effectively solving the problem of high requirements for computing time and memory space by screening outlier data from massive data, and realizing rapid and effective outlier data screening.