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    • 42. 发明授权
    • Capturing marketing events and data models
    • 捕获营销活动和数据模型
    • US07689453B2
    • 2010-03-30
    • US11120570
    • 2005-05-03
    • Mark S. RamseyDavid A. Selby
    • Mark S. RamseyDavid A. Selby
    • G06F17/30
    • G06Q40/00G06Q10/063G06Q30/02G06Q30/0202G06Q30/0211G06Q30/0243G06Q30/0633
    • A database system and method applying data models to candidate(s) with respect to marketing event(s). The database system comprises a first database structure storing a first list of candidates, a second database structure storing a plurality of data models, a third database structure storing a second list identifying marketing events, and a database manager software application stored on a computer readable medium. The database manager software application comprises a retrieving tool and an application tool. The retrieving tool is for retrieving at least one data model from the data models in said second database structure. The application tool is for applying the at least one data model to the at least one candidate from the first list of candidates with respect to a first marketing event from the second list.
    • 一种数据库系统和方法,将数据模型应用于市场活动的候选人。 数据库系统包括存储第一候选列表的第一数据库结构,存储多个数据模型的第二数据库结构,存储识别营销事件的第二列表的第三数据库结构以及存储在计算机可读介质上的数据库管理软件应用 。 数据库管理器软件应用程序包括检索工具和应用工具。 检索工具用于从所述第二数据库结构中的数据模型中检索至少一个数据模型。 所述应用工具用于相对于来自所述第二列表的第一营销事件,将所述至少一个数据模型应用于所述第一候选列表中的所述至少一个候选者。
    • 44. 发明授权
    • System and method for generating and selecting data mining models for data mining applications
    • 用于生成和选择数据挖掘应用程序的数据挖掘模型的系统和方法
    • US07516152B2
    • 2009-04-07
    • US11174697
    • 2005-07-05
    • Milind ChitgupakarMark S. RamseyDavid A. Selby
    • Milind ChitgupakarMark S. RamseyDavid A. Selby
    • G06F7/00
    • G06N3/08G06K9/6228Y10S707/99932Y10S707/99936Y10S707/99937Y10S707/99938Y10S707/99942Y10S707/99943
    • A computing system and method for generating and selecting data mining models. The computing system comprises a computer readable medium and computing devices electrically coupled through an interface apparatus. A data mining modeling algorithm is stored on the computer readable medium. Each of the computing devices comprises at least one central processing unit (CPU) and an associated memory device. Each of the associated memory 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. The data mining modeling algorithm is run simultaneously, on each of the computing devices, using the selected technique to generate an associated data mining model on each of the computing devices. A best data mining model from the generated data mining models is determined in accordance with the selected technique.
    • 一种用于生成和选择数据挖掘模型的计算系统和方法。 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。 数据挖掘建模算法存储在计算机可读介质上。 每个计算设备包括至少一个中央处理单元(CPU)和相关联的存储器设备。 每个相关联的存储器件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。 数据挖掘建模算法在每个计算设备上同时运行,使用所选择的技术在每个计算设备上生成相关联的数据挖掘模型。 根据所选择的技术确定来自生成的数据挖掘模型的最佳数据挖掘模型。
    • 45. 发明授权
    • System and method for selecting parameters for data mining modeling algorithms in data mining applications
    • 在数据挖掘应用中选择数据挖掘建模算法参数的系统和方法
    • US07509337B2
    • 2009-03-24
    • US11174958
    • 2005-07-05
    • Milind ChitgupakarMark S. RamseyDavid A. Selby
    • Milind ChitgupakarMark S. RamseyDavid A. Selby
    • G06F17/30
    • G06F17/30286G06F2216/03Y10S707/99931Y10S707/99932Y10S707/99936Y10S707/99937Y10S707/99938Y10S707/99942Y10S707/99943
    • A computing system and method for selecting parameters for a data mining modeling algorithm. The computing system comprises a computer readable medium and computing devices electrically coupled through an interface apparatus. A data mining modeling algorithm and test data are stored on the computer readable medium. Each of the computing devices comprises a data subset from the a plurality of data subsets. The data mining modeling algorithm is distributed simultaneously using a selected technique to each of the computing devices. An associated parameter setting for each data mining modeling algorithm in each of the computing devices is adjusted simultaneously. Each associated parameter setting comprises a different parameter setting. Each data mining modeling algorithm comprising the associated parameter setting is run simultaneously to generate an associated data mining model on each of the computing devices. A data mining modeling algorithm comprising a best parameter setting is determined.
    • 一种用于选择数据挖掘建模算法的参数的计算系统和方法。 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。 数据挖掘建模算法和测试数据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。 数据挖掘建模算法使用所选择的技术同时分配给每个计算设备。 每个计算设备中的每个数据挖掘建模算法的相关参数设置被同时调整。 每个相关联的参数设置包括不同的参数设置。 包括相关参数设置的每个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。 确定包括最佳参数设置的数据挖掘建模算法。
    • 46. 发明申请
    • TREND GROUPS AND RUNNING PROFILES IN REAL TIME ANALYTICS
    • 实时分析中的趋势组和运行配置文件
    • US20080141281A1
    • 2008-06-12
    • US11609435
    • 2006-12-12
    • Mark S. RamseyStephen J. ToddDavid A. Selby
    • Mark S. RamseyStephen J. ToddDavid A. Selby
    • G06F9/46
    • G06Q40/00
    • A system. method and program product that utilizes running profiles and trend groups to analyze streams of event data in real time. A system is provided having a group profile processing system for generating a running group profile from a plurality of data event values, wherein each of the plurality of data event values is obtained from an associated one of the plurality of data streams; an event normalization system for normalizing each of the plurality of data event values based on the running group profile to generate a normalized data event value for the data event values obtained from each of the plurality of data streams; an event profile processing system for generating a running event profile for each normalized data event value; and an analysis system that evaluates each data stream by comparing a normalized data event value with an associated running event profile.
    • 一个系统。 方法和程序产品,利用运行配置文件和趋势组来实时分析事件数据流。 提供了一种系统,其具有用于从多个数据事件值生成运行组简档的组简档处理系统,其中所述多个数据事件值中的每一个从所述多个数据流中的相关联的一个获得; 事件归一化系统,用于基于所述运行组简档归一化所述多个数据事件值中的每一个,以生成从所述多个数据流中的每一个获得的数据事件值的归一化数据事件值; 用于为每个标准化数据事件值生成运行事件简档的事件简档处理系统; 以及分析系统,其通过将归一化数据事件值与相关联的运行事件简档进行比较来评估每个数据流。