公开(公告)号：US08972332B2

公开(公告)日：2015-03-03

申请号：US14051190

申请日：2013-10-10

Applicant: Google Inc.

Inventor： Jan Matthias Ruhl ,  Douglas Van Der Molen ,  Hui Sok Moon ,  Lik Mui ,  Japjit Tulsi

IPC: G06F9/44 ,  G06N5/04 ,  G06F17/30

CPC classification number: G06N5/048 ,  G06F17/3089

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.

Abstract translation: 服务器系统将网页的分析数据存储在设备中。 网络分析数据包括多个先前的时间值对，每对包括与网页相关联的属性的值和与该值相关联的时间。 对于特定属性，服务器系统收集新的时间值对，包括与网页相关联的新值，以及指示何时确定该值的新时间。 服务器系统通过将预测模型应用于网络分析数据的各个子集中的先前时间值对来估计属性的预测值和新时间的相关联的误差方差。 如果其值在特定属性的预测值的误差方差之外，则收集的新时间​​值对被标记。

公开(公告)号：US08682816B2

公开(公告)日：2014-03-25

申请号：US14023061

申请日：2013-09-10

Applicant: Google Inc.

Inventor： Jan Matthias Ruhl ,  Douglas Vander Molen ,  Hui Sok Moon ,  Lik Mui ,  Japjit Tulsi

IPC: G06F15/18

CPC classification number: H04L43/04 ,  G06F17/3089 ,  G06Q10/06 ,  G06Q10/063

Abstract: A server system stores time series data for a data source. The time series data comprises a plurality of time-value pairs, each pair including a value associated with an attribute of the data source and a time. For a particular attribute, the server system generates a plurality of forecasting models for characterizing the time-value pairs, each model including an estimated attribute value and an associated error-variance. For a time-value pair, the server system determines a plurality of differences between the value of the time-value pair and respective estimated attribute values of the plurality of forecasting models and tags the time-value pair as an anomaly if the differences for at least a first subset of the forecasting models are greater than the corresponding error variances. In response to a request from a client application, the server system returns at least a subset of the time-value pairs tagged as anomalies.

Abstract translation: 服务器系统存储数据源的时间序列数据。 时间序列数据包括多个时间值对，每对包括与数据源的属性相关联的值和时间。 对于特定属性，服务器系统生成用于表征时间值对的多个预测模型，每个模型包括估计的属性值和相关的误差方差。 对于时间值对，服务器系统确定时间值对的值与多个预测模型的各个估计属性值之间的多个差异，并且将时间 - 值对作为异常标记，如果在 预测模型的最小子集大于对应的误差方差。 响应于来自客户端应用的请求，服务器系统返回标记为异常的时间 - 值对的至少一个子集。

公开(公告)号：US20140012901A1

公开(公告)日：2014-01-09

申请号：US14023061

申请日：2013-09-10

Applicant: Google Inc.

Inventor： Jan Matthias Ruhl ,  Douglas Van Der Molen ,  Hui Sok Moon ,  Lik Mui ,  Japjit Tulsi

IPC: H04L12/26

CPC classification number: H04L43/04 ,  G06F17/3089 ,  G06Q10/06 ,  G06Q10/063

Abstract: A server system stores time series data for a data source. The time series data comprises a plurality of time-value pairs, each pair including a value associated with an attribute of the data source and a time. For a particular attribute, the server system generates a plurality of forecasting models for characterizing the time-value pairs, each model including an estimated attribute value and an associated error-variance. For a time-value pair, the server system determines a plurality of differences between the value of the time-value pair and respective estimated attribute values of the plurality of forecasting models and tags the time-value pair as an anomaly if the differences for at least a first subset of the forecasting models are greater than the corresponding error variances. In response to a request from a client application, the server system returns at least a subset of the time-value pairs tagged as anomalies.

Abstract translation: 服务器系统存储数据源的时间序列数据。 时间序列数据包括多个时间值对，每对包括与数据源的属性相关联的值和时间。 对于特定属性，服务器系统生成用于表征时间值对的多个预测模型，每个模型包括估计的属性值和相关的误差方差。 对于时间值对，服务器系统确定时间值对的值与多个预测模型的各个估计属性值之间的多个差异，并且将时间 - 值对作为异常标记，如果在 预测模型的最小子集大于对应的误差方差。 响应于来自客户端应用的请求，服务器系统返回标记为异常的时间 - 值对的至少一个子集。