System and method for monitoring and analyzing internet traffic
    1.
    发明授权
    System and method for monitoring and analyzing internet traffic 有权
    监控和分析互联网流量的系统和方法

    公开(公告)号:US09185016B2

    公开(公告)日:2015-11-10

    申请号:US13966433

    申请日:2013-08-14

    Applicant: Google Inc.

    Abstract: Systems, methods and apparatus for analyzing Internet traffic. In an aspect, a method receives at a server from a client device a report request for a report related to web site traffic; in response to the report request, sends from the server web site traffic data and application code to the client device. The application code has instructions that cause the client device to: generate a report to display the web site traffic data, time the display of the web site traffic data, periodically request updated web site traffic data according to the time of the display, and update the report with the updated web site traffic data; and the method sends from the server to the client device the updated web site traffic data in response to the request for updated web site traffic data.

    Abstract translation: 用于分析互联网流量的系统,方法和设备。 一方面,一种方法从客户端设备在服务器处接收与网站流量有关的报告的报告请求; 响应于报告请求,从服务器网站发送流量数据和应用程序代码到客户端设备。 应用程序代码具有使客户端设备生成报告以显示网站流量数据的时间,网站流量数据的显示时间,根据显示时间定期请求更新的网站流量数据,并更新 报告与更新的网站流量数据; 并且该方法响应于对更新的网站流量数据的请求,从服务器向客户端设备发送更新的网站流量数据。

    System and method for tracking unique vistors to a website
    2.
    发明授权
    System and method for tracking unique vistors to a website 有权
    用于跟踪网站的独特流片的系统和方法

    公开(公告)号:US09503346B2

    公开(公告)日:2016-11-22

    申请号:US14172330

    申请日:2014-02-04

    Applicant: Google Inc.

    Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

    Abstract translation: 提供了一种用于分析网站流量的系统和方法,该系统和方法基于日志文件,并且使用通过一个源引导的服务器端和客户端信息来为网站创建更完整的活动图片。 在一个优选实施例中,传感器代码被嵌入在所请求的网页中,并将信息发送回网站所在的web服务器。 此附加信息与正常请求一起记录。

    Method and system for detecting anomalies in time series data
    3.
    发明授权
    Method and system for detecting anomalies in time series data 有权
    检测时间序列数据异常的方法和系统

    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.

    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。

    Systems and methods for cohort identification and reporting
    4.
    发明授权
    Systems and methods for cohort identification and reporting 有权
    队列识别和报告的系统和方法

    公开(公告)号:US09454726B1

    公开(公告)日:2016-09-27

    申请号:US13911879

    申请日:2013-06-06

    Applicant: Google Inc.

    CPC classification number: G06N5/04 G06F3/0481 G06N5/022 G06Q30/0204

    Abstract: Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.

    Abstract translation: 提供了在一组行为数据中定义自定义段的系统和方法。 所描述的方法包括接收与多个用户设备相关联的一组行为数据并识别多个队列组,每个群组包括一个或多个用户设备。 行为数据包括用于每个用户设备的行为度量,并且基于每个用户设备的行为度量识别队列组。 该方法还包括生成包括多个队列组的图形可视化的分割界面,并且使分割界面经由用户界面装置呈现。 该方法还包括基于经由分割界面的多个队列组中的一个或多个的用户选择来定义行为数据的自定义段。

    SYSTEM AND METHOD FOR TRACKING UNIQUE VISTORS TO A WEBSITE
    5.
    发明申请
    SYSTEM AND METHOD FOR TRACKING UNIQUE VISTORS TO A WEBSITE 有权
    跟踪唯一的访问者到网站的系统和方法

    公开(公告)号:US20140156738A1

    公开(公告)日:2014-06-05

    申请号:US14172330

    申请日:2014-02-04

    Applicant: Google Inc.

    Abstract: A system and method for analyzing traffic to a website is provided that is based on log files and that uses both server-side and client-side information channeled through one source to create a more complete picture of activity to a website. In one preferred embodiment, a sensor code is embedded in a requested web page, and sends information back to the web server where the website resides. This additional information is logged along with normal requests.

    Abstract translation: 提供了一种用于分析网站流量的系统和方法,该系统和方法基于日志文件,并且使用通过一个源引导的服务器端和客户端信息来为网站创建更完整的活动图片。 在一个优选实施例中,传感器代码被嵌入在所请求的网页中,并将信息发送回网站所在的web服务器。 此附加信息与正常请求一起记录。

    Statistics overlay
    6.
    发明授权
    Statistics overlay 有权
    统计覆盖

    公开(公告)号:US09053078B1

    公开(公告)日:2015-06-09

    申请号:US14070801

    申请日:2013-11-04

    Applicant: Google Inc.

    Inventor: Hui Sok Moon

    CPC classification number: G06F17/2247 G06F17/30861 G06Q30/02

    Abstract: A publisher web page is rendered at a client device from a publisher and the client device issues a request for traffic statistics data related to traffic content in the web page. The client device receives the traffic statistics data and overlays the traffic statistics data on the web page, e.g., proximate to the related traffic content in the web page.

    Abstract translation: 发布者网页在发布者的客户端设备上呈现,并且客户端设备发出与网页中的流量内容相关的流量统计数据的请求。 客户端设备接收流量统计数据并覆盖网页上的流量统计数据,例如,靠近网页中的相关流量内容。

    Method and system for detecting anomalies in web analytics data
    7.
    发明授权
    Method and system for detecting anomalies in web analytics data 有权
    用于检测网页分析数据异常的方法和系统

    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.

    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。

    System and Method for Monitoring and Analyzing Internet Traffic
    8.
    发明申请
    System and Method for Monitoring and Analyzing Internet Traffic 有权
    监控和分析互联网流量的系统和方法

    公开(公告)号:US20140025814A1

    公开(公告)日:2014-01-23

    申请号:US13966433

    申请日:2013-08-14

    Applicant: Google Inc.

    Abstract: Systems, methods and apparatus for analyzing Internet traffic. In an aspect, a method receives at a server from a client device a report request for a report related to web site traffic; in response to the report request, sends from the server web site traffic data and application code to the client device. The application code has instructions that cause the client device to: generate a report to display the web site traffic data, time the display of the web site traffic data, periodically request updated web site traffic data according to the time of the display, and update the report with the updated web site traffic data; and the method sends from the server to the client device the updated web site traffic data in response to the request for updated web site traffic data.

    Abstract translation: 用于分析互联网流量的系统,方法和设备。 一方面,一种方法从客户端设备在服务器处接收与网站流量有关的报告的报告请求; 响应于报告请求,从服务器网站发送流量数据和应用程序代码到客户端设备。 应用程序代码具有使客户端设备生成报告以显示网站流量数据的时间,网站流量数据的显示时间,根据显示时间定期请求更新的网站流量数据,并更新 报告与更新的网站流量数据; 并且该方法响应于对更新的网站流量数据的请求,从服务器向客户端设备发送更新的网站流量数据。

    Systems and methods for cohort identification and reporting

    公开(公告)号:US11100405B1

    公开(公告)日:2021-08-24

    申请号:US15265632

    申请日:2016-09-14

    Applicant: Google Inc.

    Abstract: Systems and methods for defining a custom segment in a set of behavioral data are provided. A described method includes receiving a set of behavioral data associated with a plurality of user devices and identifying multiple cohort groups, each of the cohort groups including one or more of the user devices. The behavioral data includes a behavior metric for each of the user devices and the cohort groups are identified based on the behavior metric for each of the user devices. The method further comprises generating a segmentation interface including a graphical visualization of the multiple cohort groups and causing the segmentation interface to be presented via a user interface device. The method further comprises defining a custom segment of the behavioral data based on a user selection of one or more of the multiple cohort groups via the segmentation interface.

    METHOD AND SYSTEM FOR DETECTING ANOMALIES IN TIME SERIES DATA
    10.
    发明申请
    METHOD AND SYSTEM FOR DETECTING ANOMALIES IN TIME SERIES DATA 有权
    用于检测时间序列数据中异常的方法和系统

    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.

    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。

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