TECHNIQUES FOR EVALUATING RECOMMENDATION SYSTEMS
    4.
    发明申请
    TECHNIQUES FOR EVALUATING RECOMMENDATION SYSTEMS 审中-公开
    评估推荐系统的技术

    公开(公告)号:US20090319330A1

    公开(公告)日:2009-12-24

    申请号:US12141105

    申请日:2008-06-18

    IPC分类号: G06Q10/00

    摘要: Various technologies and techniques are disclosed for calculating and evaluating the behavior of recommendation systems. Accuracy measures are computed for a plurality of items in a real recommendation system, an ideal recommendation system, and a popularity-based baseline recommendation system. The accuracy measures for the plurality of items are presented to a user so the user can evaluate a performance of the real recommendation system in comparison to the ideal recommendation system and the popularity-based baseline recommendation system. The accuracy measures can be presented in an interactive graph.

    摘要翻译: 公开了各种技术和技术来计算和评估推荐系统的行为。 针对真实推荐系统,理想推荐系统和基于流行度的基准推荐系统中的多个项目计算准确度度量。 将多个项目的准确性度量提供给用户,使得与理想推荐系统和基于流行度的基准推荐系统相比,用户可以评估真实推荐系统的性能。 准确性度量可以在交互式图表中呈现。

    DYNAMICALLY DETECTING EXCEPTIONS BASED ON DATA CHANGES
    5.
    发明申请
    DYNAMICALLY DETECTING EXCEPTIONS BASED ON DATA CHANGES 有权
    基于数据变化动态检测异常

    公开(公告)号:US20080189639A1

    公开(公告)日:2008-08-07

    申请号:US11670783

    申请日:2007-02-02

    IPC分类号: G06F17/30 G06F3/048

    CPC分类号: G06F17/245

    摘要: Fields contained in data expressed as tabular data having columns and rows can initially be marked as exceptions, wherein a column within a row can be the potential cause of the exception. A user configurable parameter can be utilized to change the sensitivity or allowable exceptions for each row and/or column, to increase or decrease the number of exceptions detected. As data within each field are modified, added or deleted, or when the configurable parameter is changed, the exceptions marked can be automatically updated. Such updated exceptions can be the same or different from the initially marked exceptions. As such, a user can evaluate data and determine whether various changes within the data will change various outcomes.

    摘要翻译: 包含在以列和行表格数据表示的数据中的字段最初可以被标记为异常,其中行内的列可能是异常的潜在原因。 可以使用用户可配置参数来改变每行和/或列的灵敏度或允许的异常,以增加或减少检测到的异常数量。 由于每个字段中的数据被修改,添加或删除,或者当可配置参数被更改时,可以自动更新标记的异常。 这种更新的异常可以与初始标记的异常相同或不同。 因此,用户可以评估数据并确定数据内的各种变化是否会改变各种结果。

    GOAL SEEKING USING PREDICTIVE ANALYTICS
    6.
    发明申请
    GOAL SEEKING USING PREDICTIVE ANALYTICS 失效
    使用预测分析的目标寻求

    公开(公告)号:US20080189237A1

    公开(公告)日:2008-08-07

    申请号:US11670656

    申请日:2007-02-02

    IPC分类号: G06F17/30 G06F17/10

    CPC分类号: G06N7/00

    摘要: Seeking goals in data that can be expressed as rows and columns is provided through predictive analytics. If a desired goal is achievable, the changes to the rows and/or columns that can achieve the goal are presented to a user. If the desired goal is not achievable, an error message or other indicator can be presented to the user. Predictive analytics can include a predictive algorithm, various data mining techniques, or other predictive techniques. A confidence metric of a goal-seek result can be normalized to estimate the degree of confidence that a particular change will yield the desired outcome.

    摘要翻译: 通过预测分析来提供可以表示为行和列的数据中的目标。 如果可以实现所需的目标,则可以向用户呈现可实现目标的行和/或列的更改。 如果不能实现所期望的目标,则可向用户呈现错误消息或其他指示符。 预测分析可以包括预测算法,各种数据挖掘技术或其他预测技术。 可以对目标追求结果的置信度量度进行归一化,以估计特定变化产生期望结果的置信程度。

    Systems and methods that facilitate data mining
    7.
    发明授权
    Systems and methods that facilitate data mining 失效
    促进数据挖掘的系统和方法

    公开(公告)号:US07398268B2

    公开(公告)日:2008-07-08

    申请号:US11049031

    申请日:2005-02-02

    IPC分类号: G06F17/30

    摘要: A system that facilitates data mining comprises a reception component that receives command(s) in a declarative language that relate to utilizing an output of a first data mining model as an input to a second data mining model. An implementation component analyzes the received command(s) and implements the command(s) with respect to the first and second data mining models. In another aspect of the subject invention, the reception component can receive further command(s) in a declarative language with respect to causing one or more of the first and second data mining models to output a prediction, the prediction desirably generated without prediction input, the implementation component causes the one or more of the first and second data mining models to output the prediction.

    摘要翻译: 便于数据挖掘的系统包括:接收组件,其以声明性语言接收与将第一数据挖掘模型的输出利用为第二数据挖掘模型的输入相关的命令。 实现组件分析所接收的命令并且针对第一和第二数据挖掘模型实现命令。 在本发明的另一方面,接收组件可以以声明性语言接收另外的命令,以使得第一和第二数据挖掘模型中的一个或多个输出预测,期望地产生而不具有预测输入的预测, 实现组件使第一和第二数据挖掘模型中的一个或多个输出预测。

    Detecting and displaying exceptions in tabular data
    8.
    发明授权
    Detecting and displaying exceptions in tabular data 有权
    检测并显示表格数据中的异常

    公开(公告)号:US07797264B2

    公开(公告)日:2010-09-14

    申请号:US11670735

    申请日:2007-02-02

    IPC分类号: G06F17/00

    CPC分类号: G06F17/30312

    摘要: Data expressed as tabular data having columns and rows can be analyzed and data determined to be an exception can be flagged. In addition, reasons for flagging such data as exceptions can be presented to a user to facilitate further analysis and action on the data. A predictive analysis component can utilize a clustering algorithm with predictive capabilities to autonomously analyze the data. Periodic re-analysis of the data can be performed to determine if exceptions have changed based on new or modified data.

    摘要翻译: 可以分析表示为具有列和行的表格数据的数据,并且可以标记被确定为异常的数据。 此外,可以向用户呈现标记诸如异常的数据的原因,以促进对数据的进一步分析和动作。 预测分析组件可以利用具有预测能力的聚类算法来自主分析数据。 可以执行数据的定期重新分析,以确定是否根据新的或修改的数据更改了异常。

    DETECTING AND DISPLAYING EXCEPTIONS IN TABULAR DATA
    9.
    发明申请
    DETECTING AND DISPLAYING EXCEPTIONS IN TABULAR DATA 有权
    检测和显示在数据中的例外

    公开(公告)号:US20080189238A1

    公开(公告)日:2008-08-07

    申请号:US11670735

    申请日:2007-02-02

    IPC分类号: G06F17/10 G06F17/30

    CPC分类号: G06F17/30312

    摘要: Data expressed as tabular data having columns and rows can be analyzed and data determined to be an exception can be flagged. In addition, reasons for flagging such data as exceptions can be presented to a user to facilitate further analysis and action on the data. A predictive analysis component can utilize a clustering algorithm with predictive capabilities to autonomously analyze the data. Periodic re-analysis of the data can be performed to determine if exceptions have changed based on new or modified data.

    摘要翻译: 可以分析表示为具有列和行的表格数据的数据,并且可以标记被确定为异常的数据。 此外,可以向用户呈现标记诸如异常的数据的原因,以促进对数据的进一步分析和动作。 预测分析组件可以利用具有预测能力的聚类算法来自主分析数据。 可以执行数据的定期重新分析,以确定是否根据新的或修改的数据更改了异常。

    Generating reproducible reports used in predictive modeling actions
    10.
    发明申请
    Generating reproducible reports used in predictive modeling actions 审中-公开
    生成用于预测建模动作的可重复报告

    公开(公告)号:US20130117650A1

    公开(公告)日:2013-05-09

    申请号:US13506102

    申请日:2012-03-27

    IPC分类号: G06F17/24

    CPC分类号: G06F17/246

    摘要: A method and system that generate reproducible reports describing one or more analytical functions are disclosed. The reports describe a sequence of analytical functions and allow subsequent executions of the sequence of analytical functions. The matrix space that is inherent in worksheets is used to record a sequence of operations as a tabular report that can be interpreted by a computer program.

    摘要翻译: 公开了一种产生描述一个或多个分析功能的可重复报告的方法和系统。 报告描述了一系列分析功能,并允许随后执行分析功能序列。 工作表中固有的矩阵空间用于将一系列操作记录为可由计算机程序解释的表格式报告。