METHOD AND SYSTEM FOR DETECTING ANOMALIES IN WEB ANALYTICS DATA

摘要

A server system stores web analytics data for a web page in a device. The web analytics data comprises a plurality of prior time -value pairs, each pair including a value of an attribute associated with the web page and a time associated with the value. For a particular attribute, the server system collects a new time -value pair including a new value associated with the web page and a new time indicating when the value was determined. The server system estimates a predicted value for the attribute and an associated error- variance at the new time by applying a forecasting model to the prior time-value pairs in respective subsets of the web analytics data. The collected new time-value pair is tagged if its value is outside the error variance of the predicted value for the particular attribute.