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公开(公告)号：US08914413B2
公开(公告)日：2014-12-16
申请号：US13732517
申请日：2013-01-02
CPC分类号： G06F17/30607
摘要： A processor-implemented method, system, and/or computer program product defines multiple context-based data gravity wells on a context-based data gravity wells membrane. Non-contextual data objects are associated with context objects to define synthetic context-based objects. The synthetic context-based objects are parsed into an n-tuple that includes a pointer to one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, and a weighting factor of importance of the synthetic context-based object. A virtual mass of each parsed synthetic context-based object is calculated, in order to define a shape of multiple context-based data gravity wells that are created when synthetic context-based objects are pulled into each of the context-based data gravity well frameworks on a context-based data gravity wells membrane.
摘要翻译： 处理器实现的方法，系统和/或计算机程序产品在基于上下文的数据重力井膜上定义多个基于上下文的数据重力井。 非上下文数据对象与上下文对象相关联，以定义合成的基于上下文的对象。 合成的基于上下文的对象被解析成n元组，其包括指向非上下文数据对象之一的指针，非上下文数据对象已经与正确的上下文对象相关联的概率，以及加密因子 合成基于上下文的对象的重要性。 计算每个解析的合成基于上下文的对象的虚拟质量，以便定义当将合成的基于上下文的对象拉入每个基于上下文的数据重力井框架时创建的多个基于上下文的数据重力井的形状 在基于上下文的数据重力井膜上。
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2.发明申请MINIMIZATION OF SURPRISAL CONTEXT DATA THROUGH APPLICATION OF CUSTOMIZED SURPRISAL CONTEXT FILTERS 有权通过应用自定义的历史语境过滤器来最小化惊奇的上下文数据公开(公告)号：US20140358908A1
公开(公告)日：2014-12-04
申请号：US13930523
申请日：2013-06-28
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06N5/02
摘要： A method, system, and computer program product for minimizing surprisal context data. The method includes the steps of: identifying characteristics of a data event; receiving an input of rank of at least two identified characteristics of the data event; generating a hierarchy of ranked, identified characteristics based on the rank of the identified characteristics of the data event; and comparing the hierarchy of ranked, identified characteristics to a repository of characteristic context patterns. If at least one reference artifact of the characteristic context pattern matches the hierarchy of ranked, identified characteristics, the characteristic context pattern is broken into pieces, storing the pieces that matched the hierarchy. The stored pieces are then combined into a surprisal context filter pattern with context determined to be probabilistically present within a specified degree of certainty in a data input and compared to a data input of data events to detect anomalous events.
摘要翻译： 一种用于最小化惊奇上下文数据的方法，系统和计算机程序产品。 该方法包括以下步骤：识别数据事件的特征; 接收数据事件的至少两个识别的特征的等级的输入; 基于所识别的数据事件的特征的等级来生成排名的，识别的特征的层次; 并将排序，识别的特征的层次结构与特征上下文模式的存储库进行比较。 如果特征上下文模式的至少一个参考工件匹配排序的，识别的特征的层次结构，则将特征上下文模式分成多个部分，存储与层次结构匹配的部分。 然后将存储的片段组合成惊奇的上下文过滤器模式，其中上下文被确定为在数据输入中在指定的确定度内概率地存在，并与数据事件的数据输入进行比较以检测异常事件。
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公开(公告)号：US11151154B2
公开(公告)日：2021-10-19
申请号：US16055267
申请日：2018-08-06
发明人： Samuel S. Adams , Robert R. Friedlander , John K. Gerken, III , James R. Kraemer , Philip R. Varker
摘要： A computer-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. One or more processors define a context object, where the context object provides a context that identifies a specific subject-matter, from multiple subject-matters, of a non-contextual data object. The processor(s) associate the non-contextual data object with the context object to define a synthetic context-based object and the synthetic context-based object with at least one specific data store. A request is received from a requester for data from said at least one specific data store that is associated with the synthetic context-based object, where said at least one specific data store is within a database of multiple data stores. Data is returned to the requester from said at least one specific data store that is associated with the synthetic context-based object.
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公开(公告)号：US10152526B2
公开(公告)日：2018-12-11
申请号：US13861058
申请日：2013-04-11
发明人： Samuel S. Adams , Robert R. Friedlander , John K. Gerken, III , James R. Kraemer , Philip R. Varker
摘要： A processor-implemented method, system, and/or computer program product generates and utilizes synthetic context-based objects. A non-contextual data object is associated with a context object, which comports with a predetermined set of constraints, to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with at least one specific data store, which includes data that is associated with data contained in the non-contextual data object and the context object. A request for a data store that is associated with the synthetic context-based object results in the return of at least one data store that is associated with the synthetic context-based object.
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公开(公告)号：US09619468B2
公开(公告)日：2017-04-11
申请号：US14697682
申请日：2015-04-28
IPC分类号： G06F17/30
CPC分类号： G06F17/30528 , G06F17/30011 , G06F17/30569 , G06F17/30607 , G06F17/30743 , G06F17/30755 , G06F17/30784 , G06F17/30825 , G06F17/30864
摘要： A processor-implemented method, system, and/or computer program product derives and utilizes a context object to generate a synthetic context-based object. A context object for a non-contextual data object is derived by contextually searching a document that contains multiple instances of the non-contextual data object. The non-contextual data object is associated with the derived context object to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with a data store in a data structure that contains heterogeneous data stores that hold data of different formats. A dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects is then constructed for handling requests for data stores.
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6.发明授权Measuring and displaying facets in context-based conformed dimensional data gravity wells 有权在基于上下文的一致尺寸数据重力井中测量和显示方面公开(公告)号：US09449073B2
公开(公告)日：2016-09-20
申请号：US14695247
申请日：2015-04-24
CPC分类号： G06F17/30598 , G06F17/271 , G06F17/30011 , G06F17/30312 , G06F17/30516 , G06F17/30528 , G06F17/30592 , G06F17/30867 , G06N7/005
摘要： A processor-implemented method, system, and/or computer program product measures and displays facets in context-based conformed dimensional data gravity wells. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane. Data from the multiple context-based conformed dimensional data gravity wells then populates nodes in a data model. A displayed appearance of the particular context-based conformed dimensional data gravity well is dynamically adjusted according to how many parsed synthetic context-based objects are pulled into the particular context-based conformed dimensional data gravity well.
摘要翻译： 处理器实现的方法，系统和/或计算机程序产品在基于上下文的一致尺寸数据重力井中测量和显示方面。 符合的维度对象和合成的基于上下文的对象被解析为n元组。 计算每个解析对象的虚拟质量，以便定义当被拉入到基于上下文的一致维数据重力井框架中的数据对象时创建的多个基于上下文的一致维数据重力井的形状 基于上下文的一致尺寸重力井膜。 来自多个基于上下文的一致尺寸数据重力井的数据然后填充数据模型中的节点。 根据多少解析的合成基于上下文的对象被拉入到特定的基于上下文的一致尺寸数据重力井中，动态地调整特定的基于上下文的一致尺寸数据重力井的外观。
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公开(公告)号：US09229932B2
公开(公告)日：2016-01-05
申请号：US13732567
申请日：2013-01-02
CPC分类号： G06F17/30 , G06F17/30011 , G06F17/30303 , G06F17/30528 , G06Q30/00 , G06Q30/0201
摘要： A processor-implemented method, system, and/or computer program product defines multiple dimensional data gravity wells on a conformed dimensional data gravity wells membrane. Non-dimensional data objects are associated with dimension objects to define conformed dimensional objects. The conformed dimensional objects are parsed into an n-tuple that includes a pointer to one of the non-dimensional data objects, a probability that a non-dimensional data object has been associated with a correct dimension object, and a weighting factor of importance of the conformed dimensional object. A virtual mass of each parsed conformed dimensional object is calculated, in order to define a shape of multiple dimensional data gravity wells that are created when conformed dimensional objects are pulled into each of the dimensional data gravity well frameworks on a conformed dimensional data gravity wells membrane.
摘要翻译： 处理器实现的方法，系统和/或计算机程序产品在一致的尺寸数据重力井膜上定义多维数据重力井。 无量纲数据对象与维度对象相关联，以定义一致的维度对象。 一致的维度对象被解析成包括指向非维数据对象之一的指针的n元组，非维数据对象已经与正确维度对象相关联的概率以及重要性的加权因子 一致的维度对象。 计算每个解析的符合维度对象的虚拟质量块，以便定义当符合尺寸的对象被拉入每个维度数据重力井框架时在一致尺寸数据重力井膜上产生的多维数据重力井的形状 。
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8.发明授权Measuring and displaying facets in context-based conformed dimensional data gravity wells 有权在基于上下文的一致尺寸数据重力井中测量和显示方面公开(公告)号：US09069752B2
公开(公告)日：2015-06-30
申请号：US13756051
申请日：2013-01-31
CPC分类号： G06F17/30598 , G06F17/271 , G06F17/30011 , G06F17/30312 , G06F17/30516 , G06F17/30528 , G06F17/30592 , G06F17/30867 , G06N7/005
摘要： A processor-implemented method, system, and/or computer program product measures and displays facets in context-based conformed dimensional data gravity wells. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane. Data from the multiple context-based conformed dimensional data gravity wells then populates nodes in a data model. A displayed appearance of the particular context-based conformed dimensional data gravity well is dynamically adjusted according to the how closely each of the multiple parsed synthetic context-based objects matches said at least one context object and/or at least one dimension object.
摘要翻译： 处理器实现的方法，系统和/或计算机程序产品在基于上下文的一致尺寸数据重力井中测量和显示方面。 符合的维度对象和合成的基于上下文的对象被解析为n元组。 计算每个解析对象的虚拟质量，以便定义当被拉入到基于上下文的一致维数据重力井框架中的数据对象时创建的多个基于上下文的一致维数据重力井的形状 基于上下文的一致尺寸重力井膜。 来自多个基于上下文的一致尺寸数据重力井的数据然后填充数据模型中的节点。 根据多个解析的合成基于上下文的对象中的每一个与所述至少一个上下文对象和/或至少一个维度对象的匹配程度来动态地调整特定的基于上下文的一致的维度数据重力井的显示外观。
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公开(公告)号：US08931109B2
公开(公告)日：2015-01-06
申请号：US13680832
申请日：2012-11-19
CPC分类号： G06F21/6218 , G06F2221/2111
摘要： A processor-implemented method, system, and/or computer program product securely accesses a specific data store. A non-contextual data object is associated with a context object to define a first synthetic context-based object. The non-contextual data object ambiguously describes multiple types of persons, and the context object provides a circumstantial context that identifies a specific type of person from the multiple types of persons. The first synthetic context-based object is associated with at least one specific data store in a data structure. A string of binary data that describes a requester of data is received by a security module for generating a new synthetic context-based object. If there is a match between the new synthetic context-based object and the first synthetic context-based object, then the data is returned to the requester.
摘要翻译： 处理器实现的方法，系统和/或计算机程序产品安全地访问特定数据存储。 非上下文数据对象与上下文对象相关联，以定义第一合成基于上下文的对象。 非上下文数据对象模糊地描述了多种类型的人，并且上下文对象提供了从多种类型的人中识别特定类型的人的环境背景。 第一合成基于上下文的对象与数据结构中的至少一个特定数据存储相关联。 描述数据请求者的二进制数据串由安全模块接收，用于生成新的合成基于上下文的对象。 如果新的合成基于上下文的对象和第一个合成的基于上下文的对象之间存在匹配，则将数据返回给请求者。
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公开(公告)号：US10452660B2
公开(公告)日：2019-10-22
申请号：US14789188
申请日：2015-07-01
IPC分类号： G06F17/30 , G06F16/2457
摘要： A method, computer program product and system for generating and maintaining synthetic context events. The steps include searching a data structure of synthetic context-based objects and associated data for a pattern of context exhibited at a first specified frequency within a first specified time period; combining the synthetic context-based objects and associated data exhibiting the pattern of context exhibited at the first specified frequency within the first specified time period into a synthetic context event; and optimizing and maintaining the synthetic context event by searching the data structure for additional synthetic context-based objects and associated data exhibiting a same pattern of context at a second specified time period different than the first specified time period and adding the additional synthetic context-based objects and associated data to the synthetic context event.
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