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1. 发明申请

US20130191390A1 Automatic Identification of Abstract Online Groups 有权
标题翻译：抽象在线组的自动识别
公开(公告)号：US20130191390A1
公开(公告)日：2013-07-25
申请号：US13540759
申请日：2012-07-03
申请人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
发明人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06Q10/10 , G06Q50/01
摘要： Online abstract groups, in which members aren't explicitly connected, can be automatically identified by computer-implemented methods. The methods involve harvesting records from social media and extracting content-based and structure-based features from each record. Each record includes a social-media posting and is associated with one or more entities. Each feature is stored on a data storage device and includes a computer-readable representation of an attribute of one or more records. The methods further involve grouping records into record groups according to the features of each record. Further still the methods involve calculating an n-dimensional surface representing each record group and defining an outlier as a record having feature-based distances measured from every n-dimensional surface that exceed a threshold value. Each of the n-dimensional surfaces is described by a footprint that characterizes the respective record group as an online abstract group.
摘要翻译：成员未明确连接的在线抽象组可以通过计算机实现的方法自动识别。这些方法涉及从社交媒体中收集记录，并从每个记录中提取基于内容和基于结构的功能。每个记录包括社交媒体发布，并与一个或多个实体相关联。每个特征被存储在数据存储设备上，并且包括一个或多个记录的属性的计算机可读表示。这些方法还包括根据每个记录的特征将记录分组到记录组中。此外，所述方法还包括计算表示每个记录组的n维表面，并将异常值定义为具有从超过阈值的每个n维表面测量的基于特征的距离的记录。 n维表面中的每一个由描绘为相应记录组作为在线抽象组的印迹来描述。

2. 发明授权

US08700629B2 Automatic identification of abstract online groups 有权
标题翻译：自动识别抽象的在线组
公开(公告)号：US08700629B2
公开(公告)日：2014-04-15
申请号：US13540759
申请日：2012-07-03
申请人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
发明人： David W. Engel , Michelle L. Gregory , Eric B. Bell , Andrew J. Cowell , Andrew W. Piatt
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06Q10/10 , G06Q50/01
摘要： Online abstract groups, in which members aren't explicitly connected, can be automatically identified by computer-implemented methods. The methods involve harvesting records from social media and extracting content-based and structure-based features from each record. Each record includes a social-media posting and is associated with one or more entities. Each feature is stored on a data storage device and includes a computer-readable representation of an attribute of one or more records. The methods further involve grouping records into record groups according to the features of each record. Further still the methods involve calculating an n-dimensional surface representing each record group and defining an outlier as a record having feature-based distances measured from every n-dimensional surface that exceed a threshold value. Each of the n-dimensional surfaces is described by a footprint that characterizes the respective record group as an online abstract group.
摘要翻译：成员未明确连接的在线抽象组可以通过计算机实现的方法自动识别。这些方法涉及从社交媒体中收集记录，并从每个记录中提取基于内容和基于结构的功能。每个记录包括社交媒体发布，并与一个或多个实体相关联。每个特征被存储在数据存储设备上，并且包括一个或多个记录的属性的计算机可读表示。这些方法还包括根据每个记录的特征将记录分组到记录组中。此外，所述方法还包括计算表示每个记录组的n维表面，并将异常值定义为具有从超过阈值的每个n维表面测量的基于特征的距离的记录。 n维表面中的每一个由描绘为相应记录组作为在线抽象组的印迹来描述。

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