Systems and methods that facilitate data mining
    1.
    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。

    Extensible data mining framework
    2.
    发明授权
    Extensible data mining framework 有权
    可扩展数据挖掘框架

    公开(公告)号:US07383234B2

    公开(公告)日:2008-06-03

    申请号:US11157602

    申请日:2005-06-21

    IPC分类号: G06N5/00

    CPC分类号: G06F17/30539 G06F2216/03

    摘要: The subject disclosure pertains to extensible data mining systems, means, and methodologies. For example, a data mining system is disclosed that supports plug-in or integration of non-native mining algorithms, perhaps provided by third parties, such that they function the same as built-in algorithms. Furthermore, non-native data mining viewers may also be seamlessly integrated into the system for displaying the results of one or more algorithms including those provided by third parties as well as those built-in. Still further yet, support is provided for extending data mining languages to include user-defined functions (UDFs).

    摘要翻译: 主题公开涉及可扩展数据挖掘系统,手段和方法。 例如,公开了一种数据挖掘系统,其支持可能由第三方提供的非本地挖掘算法的插件或集成,使得它们与内置算法相同。 此外,非本地数据挖掘查看器还可以无缝地集成到系统中,用于显示包括由第三方提供的那些算法的一个或多个算法的结果以及内置的算法。 此外,还提供了用于扩展数据挖掘语言以包括用户定义的功能(UDF)的支持。

    Multidimensional data space queries with expression evaluation
    4.
    发明授权
    Multidimensional data space queries with expression evaluation 有权
    具有表达式求值的多维数据空间查询

    公开(公告)号:US08229923B2

    公开(公告)日:2012-07-24

    申请号:US12239695

    申请日:2008-09-26

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30592 Y10S707/957

    摘要: A system and techniques for executing queries of a sparse multidimensional data space in the presence of expressions. A dimension is associated with a set of data references, which reference stored data items. A query expression has dimension or a data reference as an operand. A result space with one or more result dimensions is defined based on the query. A plan is built and executed for retrieving the stored data items associated with the result dimensions, and forming “calculated data items” by evaluating the expression. Executing the plan produces a stream of data tuples, each having a set of data components storing the retrieved data items and/or the calculated data items. Data components are either empty or have data values. An iterative algorithm is employed on the stream to locate the data tuples that are empty at the intersection of each result dimension.

    摘要翻译: 用于在存在表达式的情况下执行稀疏多维数据空间的查询的系统和技术。 维度与一组数据引用相关联,引用存储的数据项。 查询表达式具有维或数据引用作为操作数。 基于查询定义具有一个或多个结果维度的结果空间。 构建并执行用于检索与结果维度相关联的存储数据项的计划,并通过评估表达式形成“计算的数据项”。 执行该计划产生一组数据元组,每个数据流都具有存储检索到的数据项和/或计算的数据项的一组数据组件。 数据组件为空或具有数据值。 在流上采用迭代算法来定位在每个结果维度的交集处为空的数据元组。

    Multidimensional database query extension systems and methods
    5.
    发明授权
    Multidimensional database query extension systems and methods 有权
    多维数据库查询扩展系统和方法

    公开(公告)号:US07937401B2

    公开(公告)日:2011-05-03

    申请号:US11116924

    申请日:2005-04-28

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30592 Y10S707/957

    摘要: The subject invention pertains to the integration of an object model and a multidimensional database query language such as MDX. In particular, multidimensional declarative query language entities can be exposed through objects in an object model. The object model enables generation and employment of procedural language functions, routines, or procedures that interact with multidimensional database data. This effectively provides an extension for multidimensional query languages. For example, procedures can be stored and invoked from a declarative language query. Furthermore, the object model disclosed herein can expose a context object to enable conditional procedures based on the context of execution.

    摘要翻译: 本发明涉及对象模型和诸如MDX的多维数据库查询语言的集成。 特别地,可以通过对象模型中的对象来公开多维声明式查询语言实体。 对象模型可以生成和使用与多维数据库数据交互的过程语言函数,例程或过程。 这有效地为多维查询语言提供了扩展。 例如,程序可以从声明式语言查询中存储和调用。 此外,本文公开的对象模型可以暴露上下文对象以基于执行的上下文来启用条件过程。

    MULTIDIMENSIONAL DATA SPACE QUERIES WITH EXPRESSION EVALUATION
    6.
    发明申请
    MULTIDIMENSIONAL DATA SPACE QUERIES WITH EXPRESSION EVALUATION 有权
    具有表达式评估的多维数据空间查询

    公开(公告)号:US20100082577A1

    公开(公告)日:2010-04-01

    申请号:US12239695

    申请日:2008-09-26

    IPC分类号: G06F7/06 G06F17/30

    CPC分类号: G06F17/30592 Y10S707/957

    摘要: A system and techniques for executing queries of a sparse multidimensional data space in the presence of expressions. A dimension is associated with a set of data references, which reference stored data items. A query expression has dimension or a data reference as an operand. A result space with one or more result dimensions is defined based on the query. A plan is built and executed for retrieving the stored data items associated with the result dimensions, and forming “calculated data items” by evaluating the expression. Executing the plan produces a stream of data tuples, each having a set of data components storing the retrieved data items and/or the calculated data items. Data components are either empty or have data values. An iterative algorithm is employed on the stream to locate the data tuples that are empty at the intersection of each result dimension.

    摘要翻译: 用于在存在表达式的情况下执行稀疏多维数据空间的查询的系统和技术。 维度与一组数据引用相关联,引用存储的数据项。 查询表达式具有维或数据引用作为操作数。 基于查询定义具有一个或多个结果维度的结果空间。 构建并执行用于检索与结果维度相关联的存储数据项的计划,并通过评估表达式形成“计算的数据项”。 执行该计划产生一组数据元组,每个数据流都具有存储检索到的数据项和/或计算的数据项的一组数据组件。 数据组件为空或具有数据值。 在流上采用迭代算法来定位在每个结果维度的交集处为空的数据元组。

    Centralized KPI framework systems and methods
    7.
    发明授权
    Centralized KPI framework systems and methods 有权
    集中的KPI框架系统和方法

    公开(公告)号:US07716253B2

    公开(公告)日:2010-05-11

    申请号:US11050130

    申请日:2005-02-03

    IPC分类号: G06F7/00

    CPC分类号: G06Q10/06

    摘要: The subject invention pertains to a centralized key performance indicator (KPI) framework and systems and methods of utilization. In particular, KPIs can be defined and centrally stored as data or metadata in a data store. Systems and methods are provided to enable, among other things, KPI definition, storage, identification of defined or available KPIs, and interaction with the KPIs. For instance, an interface is provided to allow KPI data to be requested and retrieved from a source such as a database. A generic application program or users thereof can then interact with and display KPI data without knowing anything a priori about the stored data or the structure thereof.

    摘要翻译: 本发明涉及集中式关键性能指标(KPI)框架和系统和利用方法。 特别地,可以将KPI定义并集中存储为数据存储中的数据或元数据。 提供了系统和方法,以实现KPI定义,存储,定义或可用KPI的识别以及与KPI的交互。 例如,提供了一个接口来允许从诸如数据库的源请求和检索KPI数据。 然后,通用应用程序或其用户可以在不知道有关所存储的数据或其结构的任何事物的情况下与KPI数据进行交互并显示。