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    • 1. 发明授权
    • System and process for a fusion classification for insurance underwriting suitable for use by an automated system
    • 用于融合分类的系统和过程,适用于自动化系统使用的保险承保
    • US07383239B2
    • 2008-06-03
    • US10425721
    • 2003-04-30
    • Piero Patrone BonissoneKareem Sherif AggourRajesh Venkat SubbuWeizhong YanNaresh Sundaram IyerAnindya Chakraborty
    • Piero Patrone BonissoneKareem Sherif AggourRajesh Venkat SubbuWeizhong YanNaresh Sundaram IyerAnindya Chakraborty
    • G06F17/00G06N5/02
    • G06Q40/08G06Q40/00
    • A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier. A static discounting factor is used to represent a prior expectation about the classifier's reliability, e.g., it might be based on the average past accuracy of the model, while a dynamic discounting is used to represent a conditional assessment of the classifier's reliability, e.g., whenever a classifier bases its output on an insufficient number of points it is not reliable.
    • 描述用于融合用于自动保险承保系统的分类器集合和/或其质量保证的方法和系统。 具体来说,分类器的集合的输出被融合。 数据的融合通常会导致一些共识和分类器之间的一些冲突。 共识将被测量并用于估计融合决策的信心程度。 根据融合的决定和信心程度以及生产​​决策引擎的决策和决策程度,然后可以使用比较模块来识别审计案例,增加用于重新调整生产的培训/测试集的案例 决策引擎,审查案例,或者可以简单地触发其发生记录以进行跟踪。 融合可以补偿分类器之间的潜在相关性。 每个分类器的可靠性可以由静态或动态折扣因子表示,这将反映分类器的预期准确性。 静态折扣因子用于表示对分类器的可靠性的先前期望,例如,可以基于模型的平均过去精度,而使用动态贴现来表示分类器的可靠性的条件评估,例如,每当 分类器的输出基于不可靠的点数不足。
    • 2. 发明授权
    • System and process for a fusion classification for insurance underwriting suitable for use by an automated system
    • 用于融合分类的系统和过程,适用于自动化系统使用的保险承保
    • US08214314B2
    • 2012-07-03
    • US12131545
    • 2008-06-02
    • Piero Patrone BonissoneKareem Sherif AggourRajesh Venkat SubbuWeizhong YanNaresh Sundaram IyerAnindya Chakraborty
    • Piero Patrone BonissoneKareem Sherif AggourRajesh Venkat SubbuWeizhong YanNaresh Sundaram IyerAnindya Chakraborty
    • G06F17/00G06N5/02
    • G06Q40/08G06Q40/00
    • A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers. The reliability of each classifier can be represented by a static or dynamic discounting factor, which will reflect the expected accuracy of the classifier. A static discounting factor is used to represent a prior expectation about the classifier's reliability, e.g., it might be based on the average past accuracy of the model, while a dynamic discounting is used to represent a conditional assessment of the classifier's reliability, e.g., whenever a classifier bases its output on an insufficient number of points it is not reliable.
    • 描述用于融合用于自动保险承保系统的分类器集合和/或其质量保证的方法和系统。 具体来说,分类器的集合的输出被融合。 数据的融合通常会导致一些共识和分类器之间的一些冲突。 共识将被测量并用于估计融合决策的信心程度。 根据融合的决定和信心程度以及生产​​决策引擎的决策和决策程度,然后可以使用比较模块来识别审计案例,增加用于重新调整生产的培训/测试集的案例 决策引擎,审查案例,或者可以简单地触发其发生记录以进行跟踪。 融合可以补偿分类器之间的潜在相关性。 每个分类器的可靠性可以由静态或动态折扣因子表示,这将反映分类器的预期准确性。 静态折扣因子用于表示对分类器的可靠性的先前期望,例如,可以基于模型的平均过去精度,而使用动态贴现来表示分类器的可靠性的条件评估,例如,每当 分类器的输出基于不可靠的点数不足。
    • 6. 发明授权
    • Searching and matching a set of query strings used for accessing information in a database directory
    • 搜索和匹配用于访问数据库目录中的信息的一组查询字符串
    • US06898595B2
    • 2005-05-24
    • US10094894
    • 2002-03-12
    • Barbara Jean VivierKareem Sherif Aggour
    • Barbara Jean VivierKareem Sherif Aggour
    • G06F7/00G06F17/30
    • G06Q50/22G06F17/30395G06F19/00G06Q10/10G16H40/20Y10S707/99936
    • Searching and matching a set of query strings used for accessing information in a database directory. In this disclosure, a user community administration tool queries a database directory containing user information associated with a user community. In the user community administration tool, there is an input query generation component that generates an input query having a search pattern that includes a combination of attribute names, logical, operators and attribute values. An accessing component accesses a library of queries used for accessing the user information in the database directory. A partitioning component partitions each of the queries in the library into logical units. Each logical unit comprises a combination of an attribute name, logical operator and attribute value. A comparing component compares the search pattern of the input query to each partitioned logical unit for each of the queries in the library. The comparing component compares the attribute name of the input query to the attribute name in the logical unit, the operator used in the input query to the operator used in the logical unit and the attribute value in the input query to the attribute value in the logical unit. A determining component determines whether there is a match between the input query and any of the logical units associated with each of the queries in the library.
    • 搜索和匹配用于访问数据库目录中的信息的一组查询字符串。 在本公开中,用户社区管理工具查询包含与用户社区相关联的用户信息的数据库目录。 在用户社区管理工具中,存在输入查询生成组件,其生成具有包括属性名称,逻辑,运算符和属性值的组合的搜索模式的输入查询。 访问组件访问用于访问数据库目录中的用户信息的查询库。 分区组件将库中的每个查询分成逻辑单元。 每个逻辑单元包括属性名称,逻辑运算符和属性值的组合。 比较组件将输入查询的搜索模式与库中每个查询的每个分区逻辑单元进行比较。 比较组件将输入查询的属性名称与逻辑单元中的属性名称进行比较,在对逻辑单元中使用的运算符的输入查询中使用的运算符和输入查询中的属性值中逻辑运算符中的属性值 单元。 确定组件确定输入查询与库中每个查询相关联的任何逻辑单元之间是否存在匹配。