Method and System for Detecting Anomalies in Web Analytics Data
First Claim
1. A computer-implemented method for identifying events of interest in web analytics data, comprising:
- storing web analytics data for a web page in a device, wherein the web analytics data comprises a plurality of prior time-value pairs, each time-value pair including a value of one of a plurality of attributes associated with the web page and a time associated with the value;
collecting a new time-value pair for the particular attribute, the new time-value pair including a new value associated with the web page and a new time when the value was determined;
estimating a predicted value for the attribute and associated error-variance at the new time for the predicted value by applying a forecasting model to the plurality of prior time-value pairs in respective subsets of the web analytics data; and
tagging the collected new time-value pair if the value of the new time-value pair is outside the error variance of the predicted value of the forecasting model for the particular attribute.
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Accused Products
Abstract
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.
105 Citations
26 Claims
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1. A computer-implemented method for identifying events of interest in web analytics data, comprising:
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storing web analytics data for a web page in a device, wherein the web analytics data comprises a plurality of prior time-value pairs, each time-value pair including a value of one of a plurality of attributes associated with the web page and a time associated with the value; collecting a new time-value pair for the particular attribute, the new time-value pair including a new value associated with the web page and a new time when the value was determined; estimating a predicted value for the attribute and associated error-variance at the new time for the predicted value by applying a forecasting model to the plurality of prior time-value pairs in respective subsets of the web analytics data; and tagging the collected new time-value pair if the value of the new time-value pair is outside the error variance of the predicted value of the forecasting model for the particular attribute. - View Dependent Claims (2, 3, 4, 5, 6, 7, 25)
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8. A server system for identifying anomalies in web analytics data, wherein the server system is connected to one or more client devices through a network, comprising:
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one or more processors for executing programs; and memory to store data and to store one or more programs to be executed by the one or more processors, the one or more programs including instructions for; storing web analytics data for a web page in a device, wherein the web analytics data comprises a plurality of prior time-value pairs, each time-value pair including a value of one of a plurality of attributes associated with the web page and a time associated with the value; collecting a new time-value pair for the particular attribute, the new time-value pair including a new value associated with the web page and a new time when the value was determined; estimating a predicted value for the attribute and associated error-variance at the new time for the predicted value by applying a forecasting model to the plurality of prior time-value pairs in respective subsets of the web analytics data; and tagging the collected new time-value pair if the value of the new time-value pair is outside the error variance of the predicted value of the forecasting model for the particular attribute. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A computer readable-storage medium storing one or more programs for execution by one or more processors, the one or more programs comprising instructions for:
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storing web analytics data for a web page in a device, wherein the web analytics data comprises a plurality of prior time-value pairs, each time-value pair including a value of one of a plurality of attributes associated with the web page and a time associated with the value; collecting a new time-value pair for the particular attribute, the new time-value pair including a new value associated with the web page and a new time when the value was determined; estimating a predicted value for the attribute and associated error-variance at the new time for the predicted value by applying a forecasting model to the plurality of prior time-value pairs in respective subsets of the web analytics data; and tagging the collected new time-value pair if the value of the new time-value pair is outside the error variance of the predicted value of the forecasting model for the particular attribute. - View Dependent Claims (15, 16, 17, 18)
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19. A computer-implemented method for identifying events in web analytics data, comprising:
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storing web analytics data for a web page in a device, wherein the web analytics data comprises a plurality of prior time-value pairs, each time-value pair including a value of one of a plurality of attributes associated with the web page and a time associated with the value; collecting a new time-value pair for a particular attribute, the new time-value pair including a new value associated with the web page and a new time when the value was determined; estimating a predicted value for the attribute at the new time by applying a forecasting model to the plurality of prior time-value pairs in a respective subset of the web analytics data; tagging the collected new time-value pair as an event of potential interest when a difference between the value of the new time-value pair and the predicted value at the new time meets a predefined condition; and generating an alert for the event of potential interest when an alert condition based on the value of the new time-value pair is satisfied. - View Dependent Claims (20, 21, 22, 23, 24, 26)
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Specification