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    • 86. 发明授权
    • Inference of anomalous behavior of members of cohorts and associate actors related to the anomalous behavior
    • 推测与异常行为有关的队列成员和副行为者的异常行为
    • US07805391B2
    • 2010-09-28
    • US12130543
    • 2008-05-30
    • Robert R. FriedlanderJames R. Kraemer
    • Robert R. FriedlanderJames R. Kraemer
    • G06N5/00
    • G06F17/30536G06F2216/03
    • Inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying anomalous behavior of cohorts members, which identification can be used to identify crimes that are particularly difficult to detect, such as identity theft. 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.
    • 推测从接收到关于推理的查询的数据库中不存在第一推断的概率。 第一个推论涉及识别队列成员的异常行为,这种身份识别可用于识别特别难以检测的身份盗窃罪。 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。
    • 87. 发明授权
    • System and method for deriving a hierarchical event based database optimized for analysis of complex accidents
    • 用于导出针对复杂事故分析优化的基于分层事件的数据库的系统和方法
    • US07805390B2
    • 2010-09-28
    • US11679009
    • 2007-02-26
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • G06N5/00G06F17/30
    • 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。
    • 89. 发明申请
    • Identifying and Generating Sensor and Actuator Cohorts
    • 识别和生成传感器和执行器队列
    • US20100153458A1
    • 2010-06-17
    • US12333311
    • 2008-12-12
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • Robert Lee AngellRobert R. FriedlanderJames R. Kraemer
    • G06F17/30
    • G06Q10/06G06Q10/08G06Q10/0833
    • A computer implemented method, apparatus, and computer program product for generating a cohort using sensor and actuator input data. A signal is received from a set of sensors and actuators associated with a set of objects. In response to a determination that the signal is in an analog format, the signal is converted from the analog format into a digital format to form digital signal data. The digital signal data is processed to identify sensor and actuator attributes associated with the set of objects. The digital signal data comprises metadata describing the identified sensor and actuator attributes. A set of cohorts is generated using the sensor and actuator attributes, wherein each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one sensor and actuator attribute in common.
    • 一种计算机实现的方法,装置和计算机程序产品,用于使用传感器和致动器输入数据生成队列。 从与一组物体相关联的一组传感器和致动器接收信号。 响应于确定信号是模拟格式,信号从模拟格式转换为数字格式以形成数字信号数据。 处理数字信号数据以识别与该组对象相关联的传感器和致动器属性。 数字信号数据包括描述所识别的传感器和致动器属性的元数据。 使用传感器和致动器属性生成一组队列,其中该组队列中的每个队列包括共享至少一个传感器和致动器属性的来自对象集合的对象的子集。