The application discloses an abnormal traffic
data filtering method and device, and relates to the technical field of
network management intelligent operation and maintenance.The method comprises the following steps: sequentially entering the traffic data to be analyzed into a first-in first-out
queue, and judging the
data value abnormality by calculating the change
abnormality measurement index of the traffic data when the traffic data is in the
queue and when the traffic data is out of the
queue; combining the
data value abnormality judgment results when the traffic data is in the queue and when the traffic data is out of the queue, and finally determining the abnormality of the traffic data; and
processing the traffic data finally determined as abnormal according to a preset
processing strategy.The application can identify and process the abnormal traffic data in the
data analysis preprocessing stage, thereby reducing the influence of the abnormal value of the traffic data on the
traffic prediction and analysis work, making the abnormal value analysis and
processing process of the traffic data automatic, and being self-adaptive to the change and development of the traffic data.