| 摘要 |
Disclosed are a method and system for detecting abnormal time series data. The method for detecting abnormal time series data according to an embodiment of the present invention comprises the following steps of: receiving time series data for each period from a random device; selecting target time series data input as a period comes and multiple numbers of first time series data input in a close period from the time series data, and using the selected time series data for determining whether the target time series data is abnormal; and when the target time series data is abnormal as the determination result, confirming whether the target series data is abnormal by using second time series data classified as the same properties as the target time series data. |
