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    • 34. 发明授权
    • System and method for deriving a hierarchical event based database optimized for analysis of criminal and security information
    • 用于导出针对犯罪和安全信息分析优化的基于层次事件的数据库的系统和方法
    • US07752154B2
    • 2010-07-06
    • US11678959
    • 2007-02-26
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • G06N5/00
    • G06F17/30536G06F2216/03
    • A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
    • 一种计算机实现的方法,装置和计算机可用程序代码,用于推断从数据库中不存在关于推断的查询的第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据,关于与相应数据相关联的层级的数据,关于数据的相应源的数据,以及关于与每个相关联的数据的完整性,可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。
    • 35. 发明申请
    • Scoring Deportment and Comportment Cohorts
    • 评分驱逐队伍
    • US20100153390A1
    • 2010-06-17
    • US12336440
    • 2008-12-16
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06F17/30
    • G06Q90/00G06K9/00771G06Q99/00
    • A computer implemented method, apparatus, and computer program product for scoring deportment and comportment cohorts. A deportment and comportment cohort having a set of conduct attributes is received. The conduct attributes may include at least one of a facial expression, vocalization, body language, and social interactions. A deportment and comportment cohort score is calculated. The deportment and comportment cohort score is normalized to calculate an overall deportment and comportment cohort score using at least one of demographic data and patterns of historical conduct. The overall cohort score indicates an appropriateness of conduct displayed by a member of the deportment and comportment cohort. Thereafter, a predefined action is executed based on the overall deportment and comportment cohort score.
    • 一种计算机实施的方法,装置和计算机程序产品,用于评分驱逐出境和同伴队列。 收到了一套具有一系列行为属性的驱逐出境人员和同伴队伍。 行为属性可以包括面部表情,发声,肢体语言和社交交互中的至少一个。 计算驱逐出境和同伴队列得分。 使用至少一种人口统计数据和历史行为模式,将驱逐出境和排斥队列得分归一化,以计算整体驱逐和排斥队列分数。 整体队列分数表明驱逐出境人员和同伴人群的行为表现出适当的行为。 此后,基于整体驱逐和排队队列得分执行预定义的动作。
    • 36. 发明申请
    • Generating Receptivity Scores for Cohorts
    • 为队列产生接受率
    • US20100153389A1
    • 2010-06-17
    • US12335731
    • 2008-12-16
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06F17/30G06F13/00
    • G06F17/30595G06F17/30864G06Q10/10
    • A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. A receptivity cohort is identified. The receptivity cohort includes a set of members and conduct attributes for the set of members. Each conduct attribute in the set of conduct attributes describes at least one of a facial expression, vocalization, body language, and social interactions of a member in the set of members. Each conduct attribute is an indicator of receptiveness to a proposed future change in a set of circumstances associated with the set of members. Events metadata is received. The events metadata describes the set of circumstances associated with the set of members. The set of conduct attributes and the events metadata is analyzed to generate a receptivity score for the receptivity cohort. The receptivity score indicates a level of receptiveness of the set of members to the proposed future change in the set of circumstances. The set of members of the receptivity cohort are identified as receptive to the proposed future change based on the result of a comparison of the receptivity score to a threshold score.
    • 一种用于产生接受性队列的计算机实现的方法,装置和计算机程序产品。 识别出接受性队列。 接受队列包括一组成员,并为该组成员提供属性。 该组行为属性中的每个行为属性描述了该组成员中的成员的面部表情,发声,肢体语言和社交交互中的至少一个。 每个行为属性是与一组成员相关的一系列情况下对拟议未来变化的接受度的指标。 收到事件元数据。 事件元数据描述与该组成员相关联的一系列情境。 分析一组行为属性和事件元数据,以生成接受队列的接受评分。 受理分数表示该组成员对一组情况下拟议未来变化的接受程度。 基于接受度分数与阈值分数比较的结果,接受性队列的一组成员被识别为接受所提出的未来变化。
    • 37. 发明申请
    • Generating Retail Cohorts From Retail Data
    • 从零售数据生成零售队列
    • US20100153174A1
    • 2010-06-17
    • US12333319
    • 2008-12-12
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06Q10/00G06Q30/00
    • G06Q30/02G06Q10/10G06Q30/0201
    • The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating retail cohorts. In an illustrative embodiment, retail data derived from a population of retail customers is received and processed to form digital retail data. The digital retail data includes metadata describing a set of retail patterns associated with one or more customers in the population of retail customers. The set of retail patterns form a set of retail attributes for cohort generation. The digital retail data is analyzed using cohort criteria to identify a set of retail cohorts based on the set of retail attributes. The cohort criteria specify at least one retail attribute from the set of retail attributes for each cohort in the set of retail cohorts. Thereafter, a set of retail cohorts are generated. The retail cohorts have members selected from the population of retail customers, and have the at least one retail attribute in common.
    • 本文描述的说明性实施例提供了一种用于生成零售队列的计算机实现的方法,装置和计算机程序产品。 在说明性实施例中,接收并处理从零售客户群体导出的零售数据以形成数字零售数据。 数字零售数据包括描述与零售客户群体中的一个或多个客户相关联的一组零售模式的元数据。 这组零售模式形成了一组队列生成的零售属性。 使用队列标准分析数字零售数据,以基于零售属性集来识别一组零售队列。 队列标准从零售队列组中的每个队列指定零售属性集中的至少一个零售属性。 此后,生成一组零售队列。 零售队列有从零售客户群体中选出的成员,并具有至少一个零售属性。
    • 38. 发明申请
    • Generating Generalized Risk Cohorts
    • 生成广义风险队列
    • US20100153146A1
    • 2010-06-17
    • US12333256
    • 2008-12-11
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06Q10/00
    • G06Q40/08G06Q10/0635
    • A computer implemented method, apparatus, and computer program product for generating general risk scores for general risk cohorts. Digital sensor data associated with a general risk cohort is received from a set of multimodal sensors. The digital sensor data comprises metadata describing attributes associated with at least one member of the general risk cohort. Each member of the general risk cohort comprises data describing objects belonging to a category. A general risk score for the general risk cohort is generated based on selected risk factors and the attributes associated with the at least one member of the general risk cohort. In response to a determination that the general risk score exceeds a risk threshold, a response action is initiated.
    • 一种计算机实现的方法,装置和计算机程序产品,用于产生一般风险队列的一般风险评分。 从一组多模式传感器接收与一般风险队列相关联的数字传感器数据。 数字传感器数据包括描述与一般风险队列的至少一个成员相关联的属性的元数据。 一般风险队列的每个成员包括描述属于类别的对象的数据。 一般风险队列的一般风险得分是根据选定的风险因素和与一般风险队列的至少一名成员相关联的属性生成的。 响应于一般风险分数超过风险阈值的确定,启动响应动作。