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    • 5. 发明授权
    • System and process for record duplication analysis
    • 用于记录重复分析的系统和过程
    • US08554742B2
    • 2013-10-08
    • US12498186
    • 2009-07-06
    • Frank Naeymi-RadRegis CharlotDavid HainesMatthew C CardwellMichael Decaro
    • Frank Naeymi-RadRegis CharlotDavid HainesMatthew C CardwellMichael Decaro
    • G06F7/00
    • G06N7/005
    • A system and process for record duplication analysis that relies on a multi-membership Bayesian analysis to determine the probability that records within a data set are matches. The Bayesian calculation may rely on objective data describing the data set as well as subjective assessments of the data set. In addition, a system and process for record duplication analysis may rely on the predetermination of probabilistic patterns, where the system only searches for patterns exceeding a chosen threshold. Work flow may include selecting which fields within each record should be analyzed, normalizing the values within those fields and removing default data, calculating possible patterns and their match probabilities, analyzing record pairs to determine which have patterns exceeding a chosen threshold to determine the presence of duplicates, and merging duplicates, closing transactions reflecting non-duplicates, identifying records having insufficient data to determine the existence or lack of a match, and/or rolling back accidental merges.
    • 用于记录复制分析的系统和过程,其依赖于多成员贝叶斯分析来确定数据集中的记录的概率是否匹配。 贝叶斯计算可能依赖于描述数据集的客观数据以及数据集的主观评估。 另外,用于记录复制分析的系统和过程可以依赖于概率模式的预先确定,其中系统仅搜索超过所选阈值的模式。 工作流程可以包括选择应分析每个记录中的哪些字段,对这些字段内的值进行归一化并移除默认数据,计算可能的模式及其匹配概率,分析记录对以确定哪些模式超过所选阈值以确定是否存在 复制和合并重复,关闭反映不重复的事务,识别具有不足数据的记录以确定是否存在或缺少匹配,和/或回滚意外合并。
    • 8. 发明授权
    • Adaptive data manager
    • 自适应数据管理器
    • US06904432B2
    • 2005-06-07
    • US09997723
    • 2001-11-30
    • Regis CharlotDavid HainesDavid PilkingtonJose Maldonado, Jr.
    • Regis CharlotDavid HainesDavid PilkingtonJose Maldonado, Jr.
    • G06F17/30
    • G06F17/30557Y10S707/99939Y10S707/99942
    • A method for managing a back-end information storage infrastructure and a flexible development environment for data storage using a computer system. The method includes managing system resources including a relational database. Meta data models are created to model processes and to define meta data elements and their relationships by using trees and graphs. The method manages access to the data by authenticating users through a directory describing user rights, while providing management of multi-user access and concurrency. The method includes running the processes that generate instance data, storing the instance data following the meta data model, and transforming the instance data into physical views.
    • 用于管理后端信息存储基础设施的方法和用于使用计算机系统进行数据存储的灵活的开发环境。 该方法包括管理包括关系数据库的系统资源。 创建元数据模型来建模流程,并通过使用树和图来定义元数据元素及其关系。 该方法通过对描述用户权限的目录进行认证,同时提供对多用户访问和并发的管理来管理对数据的访问。 该方法包括运行生成实例数据的过程,存储元数据模型之后的实例数据,以及将实例数据变换为物理视图。
    • 9. 发明申请
    • Identification mapping and translation method
    • 识别映射和翻译方法
    • US20050038671A1
    • 2005-02-17
    • US10642072
    • 2003-08-15
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • G06F7/00G06F17/00G06F19/00G06F17/60
    • G06Q50/22G06F19/00G16H10/60Y10S707/99936
    • A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.
    • 一种用于在包括数据库的系统中映射和标识实体信息的方法。 客户端应用程序将客户端实体属性发送到包含数据库的系统。系统将客户端实体的属性与存储在系统数据库中的每个系统实体进行比较。 基于比较的结果,计算客户实体与存储在系统中的每个实体之间的相关性的分数。 为了执行该计算,使用多隶属贝叶斯函数。 一旦计算分数,它们将基于预定的阈值被分类为三个置信区间。 将客户端属性插入到系统数据库中。 然后,这些属性将连接到现有系统实体,或连接到创建的新系统实体。
    • 10. 发明授权
    • Identification mapping and translation method
    • 识别映射和翻译方法
    • US07167858B2
    • 2007-01-23
    • US10642072
    • 2003-08-15
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • Frank Naeymi-RadDavid AlvinDavid PilkingtonRegis Charlot
    • G06F17/30
    • G06Q50/22G06F19/00G16H10/60Y10S707/99936
    • A method for mapping and identifying entity information in a system that includes a database. A client application sends client entity attributes to the system that includes a database The system compares the attributes of the client entity with each of the system entities stored in the system database. Based on the results of the comparison, a score is calculated for the relevance between the client entity and each entity stored in the system. To perform this calculation, a multi-membership Bayesian function is used. Once the scores are computed, they are classified into three confidence zones based on predetermined threshold values. The client attributes are inserted into the system database. These attributes then are connected either to an existing system entity, or are connected to a new system entity that is created.
    • 一种用于在包括数据库的系统中映射和标识实体信息的方法。 客户端应用程序将客户端实体属性发送到包含数据库的系统。系统将客户端实体的属性与存储在系统数据库中的每个系统实体进行比较。 基于比较的结果,计算客户实体与存储在系统中的每个实体之间的相关性的分数。 为了执行该计算,使用多隶属贝叶斯函数。 一旦计算分数,它们将基于预定的阈值被分类为三个置信区间。 将客户端属性插入到系统数据库中。 然后,这些属性将连接到现有系统实体,或连接到创建的新系统实体。