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    • 25. 发明授权
    • Method, system and program product for developing a data model in a data mining system
    • 用于在数据挖掘系统中开发数据模型的方法,系统和程序产品
    • US08122429B2
    • 2012-02-21
    • US12104621
    • 2008-04-17
    • Mark S. RamseyDavid A. Selby
    • Mark S. RamseyDavid A. Selby
    • G06F9/44G06F7/00
    • G06F17/30592Y10S707/99943
    • A database table of predefined data transformations is provided. Each predefined data transformation is associated in the table with a unique identifier, a corresponding description and a validity period. When a data modeler wishes to develop a data model for a desired prediction, he/she will first determine a set of variables that will be used therefor. The set of variables can include any of the predefined data transformations from the database table. The data model will then be developed by applying raw data to the set of variables and determining a mathematical relationship there between. Once the data model has been developed, the data modeler will write a reusable specification for applying the data model operationally. Thereafter, IT personnel or the like can code and deploy the data model using the specification.
    • 提供了预定义数据转换的数据库表。 每个预定义的数据变换在表中与唯一的标识符,相应的描述和有效期相关联。 当数据建模者希望为所需预测开发数据模型时,他/她将首先确定一组将用于此的变量。 变量集可以包括来自数据库表的任何预定义的数据转换。 然后通过将原始数据应用于变量集合并确定其间的数学关系来开发数据模型。 一旦数据模型被开发出来,数据建模者将会为可操作地应用数据模型写出一个可重用的规范。 此后,IT人员等可以使用规范对数据模型进行编码和部署。
    • 26. 发明授权
    • Method, system and program product for transforming a single language program into multiple language programs
    • 用于将单一语言程序转换为多种语言程序的方法,系统和程序产品
    • US07992139B2
    • 2011-08-02
    • US11564658
    • 2006-11-29
    • Milind ChitgupakarMark S. Ramsey
    • Milind ChitgupakarMark S. Ramsey
    • G06F9/45
    • G06F8/51
    • A method, system and program product for transforming a source code in one language into one or more target modules in one or more languages is provided. The method includes selecting one or more target programming languages suitable for transforming each source module of a source code into one or more target modules written in one or more target programming languages. The method further includes parsing the source code and looking up for a source function in the source code an equivalent target function in a target programming language, such that execution of the equivalent target function in the target programming language is optimized. The method further includes writing out in the target programming language the equivalent target function corresponding to the source function, such that each source module is transformed into one or more target modules whose execution in the one or more target programming languages is optimized.
    • 提供一种用于将一种语言的源代码转换为一种或多种语言的一个或多个目标模块的方法,系统和程序产品。 该方法包括选择适合于将源代码的每个源模块转换为用一个或多个目标编程语言编写的一个或多个目标模块的一个或多个目标编程语言。 该方法还包括解析源代码并在源代码中查找源函数,以目标编程语言中的等效目标函数,从而优化目标编程语言中的等效目标函数的执行。 该方法还包括在目标编程语言中写出与源函数对应的等效目标函数,使得每个源模块被转换成一个或多个在一个或多个目标编程语言中的执行被优化的目标模块。
    • 28. 发明授权
    • Dynamic selection of groups of outbound marketing events
    • 动态选择出境营销活动组
    • US07689454B2
    • 2010-03-30
    • US11121234
    • 2005-05-03
    • Mark S. RamseyDavid A. Selby
    • Mark S. RamseyDavid A. Selby
    • G06F17/30
    • G06Q30/02G06Q10/04G06Q30/0204G06Q30/0601
    • A database system and method for ordering marketing events for offering to candidates. The database system comprises a first database structure storing a first list identifying marketing events, a second database structure storing a second list of candidates, and a database manager software application stored on a computer readable medium. The database manager software application comprises a grouping tool and an optimization tool. The marketing events from the first list are divided into a first plurality of groups. The grouping tool is for dividing candidates from the second list into a second plurality of groups and matching a first group from first plurality of groups with a second group from the second plurality of groups. The optimization tool is for optimizing and sorting the marketing events from the first group for all candidates from the second group.
    • 一种用于为候选人提供营销活动的数据库系统和方法。 数据库系统包括存储识别营销事件的第一列表的第一数据库结构,存储第二候选列表的第二数据库结构以及存储在计算机可读介质上的数据库管理器软件应用程序。 数据库管理器软件应用程序包括分组工具和优化工具。 第一个列表中的营销活动分为第一组。 分组工具用于将来自第二列表的候选项分成第二组,并且从第一组多个组与第二组中的第二组匹配第一组。 优化工具用于优化和排序第一组所有来自第二组的候选人的营销活动。
    • 29. 发明授权
    • System and method for selecting a data mining modeling algorithm for data mining applications
    • 选择用于数据挖掘应用的数据挖掘建模算法的系统和方法
    • US07512626B2
    • 2009-03-31
    • US11174698
    • 2005-07-05
    • Milind ChitgupakarMark S. RamseyDavid A. Selby
    • Milind ChitgupakarMark S. RamseyDavid A. Selby
    • G06F7/00
    • G06F17/30539Y10S707/99936Y10S707/99937Y10S707/99938Y10S707/99942Y10S707/99943
    • A computing system and method for selecting a data mining modeling algorithm. The computing system comprises a computer readable medium and computing devices electrically coupled through an interface apparatus. A plurality of different data mining modeling algorithms and test data are stored on the computer readable medium. Each of the computing devices comprises a data subset from a plurality of data subsets. A technique is selected for generating a data mining model applied to each of the data subsets. Each of the different data mining modeling algorithms is run simultaneously to generate an associated data mining model on each of the computing devices. Each of the data mining models is compared to the test data to determine a best data model. A best data mining modeling algorithm from the different data mining modeling algorithms is selected in accordance with the best data mining model.
    • 一种用于选择数据挖掘建模算法的计算系统和方法。 计算系统包括计算机可读介质和通过接口设备电耦合的计算设备。 多个不同的数据挖掘建模算法和测试数据被存储在计算机可读介质上。 每个计算设备包括来自多个数据子集的数据子集。 选择一种技术来生成应用于每个数据子集的数据挖掘模型。 每个不同的数据挖掘建模算法同时运行以在每个计算设备上生成相关联的数据挖掘模型。 将每个数据挖掘模型与测试数据进行比较,以确定最佳数据模型。 根据最佳数据挖掘模型选择不同数据挖掘建模算法的最佳数据挖掘建模算法。