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1. 发明授权

US07836004B2 Using data mining algorithms including association rules and tree classifications to discover data rules 有权
标题翻译：使用包括关联规则和树分类的数据挖掘算法来发现数据规则
公开(公告)号：US07836004B2
公开(公告)日：2010-11-16
申请号：US11609307
申请日：2006-12-11
申请人： Mary Ann Roth , Blayne Harold Chard , Yannick Saillet , Harald Clyde Smith
发明人： Mary Ann Roth , Blayne Harold Chard , Yannick Saillet , Harald Clyde Smith
IPC分类号： G06N5/02
CPC分类号： G06F17/30303
摘要： Provided are a method, system, and article of manufacture for using a data mining algorithm to discover data rules. A data set including multiple records is processed to generate data rules for the data set. Each record has a record format including a plurality of fields and each rule provides a predicted condition for one field based on at least one predictor condition in at least one other field. The generated data rules are provided to a user interface to enable a user to edit the generated data rules. The data rules are stored in a rule repository to be available to use to validate data sets having the record format.
摘要翻译：提供了使用数据挖掘算法来发现数据规则的方法，系统和制品。处理包括多个记录的数据集以生成数据集的数据规则。每个记录具有包括多个字段的记录格式，并且每个规则基于至少一个其他字段中的至少一个预测变量条件提供一个字段的预测条件。生成的数据规则被提供给用户界面，以使用户能够编辑所生成的数据规则。数据规则存储在可用于验证具有记录格式的数据集的规则库中。

2. 发明授权

US08443189B2 Trust event notification and actions based on thresholds and associated trust metadata scores 有权
标题翻译：基于阈值和相关信任元数据得分的信任事件通知和操作
公开(公告)号：US08443189B2
公开(公告)日：2013-05-14
申请号：US12257878
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： H04L29/06 , G06F7/04
CPC分类号： G06F21/577
摘要： An approach is provided for selecting one or more trust factors from trust factors included in a trust index repository. Thresholds are identified corresponding to one or more of the selected trust factors. Actions are identified to perform when the selected trust factors reach the corresponding threshold values. The identified thresholds, identified actions, and selected trust factors are stored in a data store. The selected trust factors are monitored by comparing one or more trust metadata scores with the stored identified thresholds. The stored identified actions that correspond to the selected trust factors are performed when one or more of the trust metadata scores reach the identified thresholds. At least one of the actions includes an event notification that is provided to a trust data consumer.
摘要翻译：提供了一种用于从包括在信任指数存储库中的信任因子中选择一个或多个信任因子的方法。对应于一个或多个所选择的信任因子来识别阈值。当所选择的信任因素达到相应的阈值时，确定动作被执行。所识别的阈值，识别的动作和所选择的信任因子被存储在数据存储器中。通过将一个或多个信任元数据分数与存储的已确定的阈值相比较来监视所选择的信任因子。当信任元数据分数中的一个或多个达到所识别的阈值时，执行对应于所选信任因子的所存储的已识别动作。至少一个动作包括提供给信任数据消费者的事件通知。

3. 发明授权

US08290960B2 Configurable trust context assignable to facts and associated trust metadata 有权
标题翻译：可配置的信任上下文可分配给事实和关联的信任元数据
公开(公告)号：US08290960B2
公开(公告)日：2012-10-16
申请号：US12257866
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： G06F7/00
CPC分类号： G06Q30/00 , G06Q30/018
摘要： An approach is provided for selecting a trust factor from trust factors that are included in a trust index repository. A trust metaphor is associated with the selected trust factor. The trust metaphor includes various context values. Range values are received and the trust metaphor, context values, and range values are associated with the selected trust factor. A request is received from a data consumer, the request corresponding to a trust factor metadata score that is associated with the selected trust factor. The trust factor metadata score is retrieved and matched with the range values. The matching results in one of the context values being selected based on the retrieved trust factor metadata score. The selected context value is then provided to the data consumer.
摘要翻译：提供了一种用于从信任因子中包含的信任因子中选择信任因子的方法。信任隐喻与选定的信任因子相关联。信任隐喻包括各种上下文值。收到范围值，信任隐喻，上下文值和范围值与选定的信任因子相关联。从数据使用者接收到与所选择的信任因子相关联的信任因素元数据得分的请求。检索信任因子元数据得分并与范围值匹配。匹配结果基于检索的信任因素元数据得分选择上下文值之一。然后将选定的上下文值提供给数据消费者。

4. 发明授权

US08108330B2 Generating composite trust value scores, and atomic metadata values and associated composite trust value scores using a plurality of algorithms 有权
标题翻译：使用多个算法生成复合信任值分数，以及原子元数据值和相关联的复合信任值分数
公开(公告)号：US08108330B2
公开(公告)日：2012-01-31
申请号：US12257894
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： G06F17/00
CPC分类号： G06Q10/10 , G06Q10/06 , G06Q10/0635 , G06Q30/018 , G06Q30/0282
摘要： An approach is provided in which atomic trust scores are computed using a atomic trust factors that are applied to a plurality of metadata. A first set of composite trust scores are computed using some of the atomic trust scores. The composite trust scores are computed using a first set of algorithms. Some of the algorithms use a factor weighting value as input to the algorithm. A second plurality of composite trust scores is computed using some of the composite trust scores that were included in the first set of scores as input. A fact and one of the second set of composite trust scores are presented to a user. The presented composite trust score provides a trustworthiness value that corresponds to the presented fact.
摘要翻译：提供了一种方法，其中使用应用于多个元数据的原子信任因子来计算原子信任评分。使用一些原子信任分数计算第一组复合信任评分。使用第一组算法计算复合信任评分。一些算法使用因子加权值作为算法的输入。使用包含在第一组分数中的一些复合信任评分作为输入来计算第二组复合信任评分。向用户呈现事实和第二组复合信任评分之一。所提出的复合信任分数提供对应于所呈现的事实的可信赖度值。

5. 发明申请

US20100107244A1 Trust Event Notification and Actions Based on Thresholds and Associated Trust Metadata Scores 有权
标题翻译：基于阈值和相关信任元信息的信任事件通知和操作
公开(公告)号：US20100107244A1
公开(公告)日：2010-04-29
申请号：US12257878
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： G06F21/00
CPC分类号： G06F21/577
摘要： An approach is provided for selecting one or more trust factors from trust factors included in a trust index repository. Thresholds are identified corresponding to one or more of the selected trust factors. Actions are identified to perform when the selected trust factors reach the corresponding threshold values. The identified thresholds, identified actions, and selected trust factors are stored in a data store. The selected trust factors are monitored by comparing one or more trust metadata scores with the stored identified thresholds. The stored identified actions that correspond to the selected trust factors are performed when one or more of the trust metadata scores reach the identified thresholds. At least one of the actions includes an event notification that is provided to a trust data consumer.
摘要翻译：提供了一种用于从包括在信任指数存储库中的信任因子中选择一个或多个信任因子的方法。对应于一个或多个所选择的信任因子来识别阈值。当所选择的信任因素达到相应的阈值时，确定动作被执行。所识别的阈值，识别的动作和所选择的信任因子被存储在数据存储器中。通过将一个或多个信任元数据分数与存储的已确定的阈值进行比较来监视所选择的信任因子。当信任元数据分数中的一个或多个达到所识别的阈值时，执行对应于所选信任因子的所存储的已识别动作。至少一个动作包括提供给信任数据消费者的事件通知。

6. 发明申请

US20100106560A1 Generating Composite Trust Value Scores Based on Assignable Priorities, Atomic Metadata Values and Associated Composite Trust Value Scores 有权
标题翻译：基于可分配优先级，原子元数据值和相关复合信任值分数生成复合信任值分数
公开(公告)号：US20100106560A1
公开(公告)日：2010-04-29
申请号：US12257894
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： G06F17/30
CPC分类号： G06Q10/10 , G06Q10/06 , G06Q10/0635 , G06Q30/018 , G06Q30/0282
摘要： An approach is provided in which atomic trust scores are computed using a atomic trust factors that are applied to a plurality of metadata. A first set of composite trust scores are computed using some of the atomic trust scores. The composite trust scores are computed using a first set of algorithms. Some of the algorithms use a factor weighting value as input to the algorithm. A second plurality of composite trust scores is computed using some of the composite trust scores that were included in the first set of scores as input. A fact and one of the second set of composite trust scores are presented to a user. The presented composite trust score provides a trustworthiness value that corresponds to the presented fact.
摘要翻译：提供了一种方法，其中使用应用于多个元数据的原子信任因子来计算原子信任评分。使用一些原子信任分数计算第一组复合信任评分。使用第一组算法计算复合信任评分。一些算法使用因子加权值作为算法的输入。使用包含在第一组分数中的一些复合信任评分作为输入来计算第二组复合信任评分。向用户呈现事实和第二组复合信任评分之一。所提出的复合信任分数提供对应于所呈现的事实的可信赖度值。

7. 发明申请

US20100106559A1 Configurable Trust Context Assignable to Facts and Associated Trust Metadata 有权
标题翻译：可配置的信任上下文可分配给事实和关联的信任元数据
公开(公告)号：US20100106559A1
公开(公告)日：2010-04-29
申请号：US12257866
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： G06F17/30
CPC分类号： G06Q30/00 , G06Q30/018
摘要： An approach is provided for selecting a trust factor from trust factors that are included in a trust index repository. A trust metaphor is associated with the selected trust factor. The trust metaphor includes various context values. Range values are received and the trust metaphor, context values, and range values are associated with the selected trust factor. A request is received from a data consumer, the request corresponding to a trust factor metadata score that is associated with the selected trust factor. The trust factor metadata score is retrieved and matched with the range values. The matching results in one of the context values being selected based on the retrieved trust factor metadata score. The selected context value is then provided to the data consumer.
摘要翻译：提供了一种用于从信任因子中包含的信任因子中选择信任因子的方法。信任隐喻与选定的信任因子相关联。信任隐喻包括各种上下文值。收到范围值，并将信任隐喻，上下文值和范围值与选定的信任因子相关联。从数据使用者接收到与所选择的信任因子相关联的信任因素元数据得分的请求。检索信任因子元数据得分并与范围值匹配。匹配结果基于检索的信任因素元数据得分选择上下文值之一。然后将所选择的上下文值提供给数据消费者。

8. 发明申请

US20100106558A1 Trust Index Framework for Providing Data and Associated Trust Metadata 审中-公开
标题翻译：提供数据和相关信任元数据的信任指数框架
公开(公告)号：US20100106558A1
公开(公告)日：2010-04-29
申请号：US12257856
申请日：2008-10-24
申请人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
发明人： Chung-Sheng Li , Ivan Matthew Milman , Guenter Anton Sauter , Harald Clyde Smith , Charles Daniel Wolfson
IPC分类号： G06F7/00 , H04L9/32
CPC分类号： G06Q10/06 , G06F21/316 , G06F2221/2101 , G06Q30/018
摘要： An approach is provided in which facts are received and then one or more atomic fact trust analyses are performed on the facts. The atomic fact trust analyses result in various atomic trust factor scores. Composite trust analysis is performed using the atomic trust factor scores. The composite trust analyses result in composite trust factor scores. The atomic trust factor scores and the composite trust factor scores are stored in a trust index repository that is managed by a trust index framework. A request is then received for trusted data, the request being from an information consumer. The trust index framework then retrieves one of the composite trust factor scores from the trust index repository, with the retrieved composite trust factor score corresponding to the trusted data request, and this the retrieved composite trust factor score is provided to the information consumer.
摘要翻译：提供了一种方法，其中收到事实，然后对事实执行一个或多个原子事实信任分析。原子事实信任分析导致各种原子信任因子得分。使用原子信任因子得分进行复合信任分析。复合信任分析导致复合信任因子得分。原子信任因子分数和复合信任因子分数存储在由信任索引框架管理的信任索引库中。然后接收到用于可信数据的请求，该请求来自信息消费者。然后，信任索引框架从信任索引存储库中检索复合信任因子分数之一，其中所检索的复合信任因子分数对应于可信数据请求，并且将所提取的复合信任因子得分提供给信息消费者。

9. 发明申请

US20070282784A1 Comprehensive algebraic relationship discovery in databases 审中-公开
标题翻译：数据库中的综合代数关系发现
公开(公告)号：US20070282784A1
公开(公告)日：2007-12-06
申请号：US11443084
申请日：2006-05-31
申请人： Natwar Modani , Harald Clyde Smith
发明人： Natwar Modani , Harald Clyde Smith
IPC分类号： G06F17/30
CPC分类号： G06F16/217
摘要： The present invention provides methods and systems for discovering and determining algebraic relationships between sets of data, such as numeric columns in a relational database, based on a “bottom-up” (or data-driven) approach. Embodiments of the present invention provide for the discovery and determination of algebraic relationships within a single relation or algebraic relationships across multiple tables that can be joined via a foreign key relationship. The foreign key relation can be one-to-one, many-to-one, or one-to-many. In order to discover algebraic relations, mean, variance and correlations calculations between columns are performed, for example, based on taking samples of the columns. Irreducible relations are then determined. Samples are taken from the irreducible relations and algebraic relationships between columns are determined based on various calculation techniques and correlations between the columns.
摘要翻译：本发明提供了基于“自下而上”（或数据驱动）方法来发现和确定数据集之间的代数关系的方法和系统，例如关系数据库中的数字列。本发明的实施例提供了在单个关系中的代数关系的发现和确定，以及可以经由外键关系连接的多个表之间的代数关系。外键关系可以是一对一，一对一，一对多。为了发现代数关系，执行列之间的平均值，方差和相关性计算，例如，基于获取列的样本。然后确定不可约束的关系。样本取自不可约关系，列之间的代数关系根据各种计算技术和列之间的相关性来确定。

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