Systems and methods that facilitate data mining
    1.
    发明申请
    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:US20060010110A1

    公开(公告)日:2006-01-12

    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.
    发明申请
    Extensible data mining framework 有权
    可扩展数据挖掘框架

    公开(公告)号:US20060020620A1

    公开(公告)日:2006-01-26

    申请号:US11157602

    申请日:2005-06-21

    IPC分类号: G06F17/00

    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。

    System and method for aggregating a measure over a non-additive account dimension
    4.
    发明授权
    System and method for aggregating a measure over a non-additive account dimension 失效
    在非加性科目维度上聚合度量的系统和方法

    公开(公告)号:US07756739B2

    公开(公告)日:2010-07-13

    申请号:US10777918

    申请日:2004-02-12

    IPC分类号: G06F17/30

    摘要: A simple interface may be provided that enables the user to define parameters for aggregation of a semi-additive measure. The interface may enable the user to designate a measure as a semi-additive measure and to pair the measure with an additive aggregation function. The interface may also enable the user to select non-additive dimensions and to pair each non-additive dimension with a corresponding aggregation function. One such aggregation function is a by account aggregation function, which enables each account in an account dimension to be aggregated across a corresponding non-additive dimension according to an associated account type.

    摘要翻译: 可以提供简单的界面,使得用户能够定义用于聚合半附加测量的参数。 该接口可以使用户能够将度量指定为半附加度量度,并将该度量与加性聚合函数进行配对。 接口还可以使用户能够选择非附加维度并且将每个非附加维度与相应的聚合函数进行配对。 一个这样的聚合功能是通过帐户聚合功能,其使帐户维度中的每个帐户能够根据相关联的帐户类型跨相应的非附加维度进行聚合。

    SECURELY FILTERING TRUST SERVICES RECORDS
    6.
    发明申请
    SECURELY FILTERING TRUST SERVICES RECORDS 有权
    安全过滤信托服务记录

    公开(公告)号:US20140075196A1

    公开(公告)日:2014-03-13

    申请号:US13614988

    申请日:2012-09-13

    IPC分类号: H04L9/32

    摘要: Embodiments are directed to securely filtering trust services records. In one scenario, a client computer system receives at least one of the following trust services records: a trust services certificate, a principal certificate, a group certificate and a trust services policy. The client computer system performs a time validity check to validate the trust services record's timestamp, performs an integrity check to validate the integrity of the trust services record and performs a signature validity check to ensure that the entity claiming to have created the trust services record is the actual creator of the trust services record. The client computer system then, based on the time validity check, the integrity check and the signature validity check, determines that the trust services record is valid and allows a client computer system user to perform a specified task using the validated trust services record.

    摘要翻译: 实施例针对安全地过滤信任服务记录。 在一种情况下,客户端计算机系统接收以下信任服务记录中的至少一个:信任服务证书,主体证书,组证书和信任服务策略。 客户端计算机系统执行时间有效性检查以验证信任服务记录的时间戳,执行完整性检查以验证信任服务记录的完整性,并执行签名有效性检查,以确保声称已创建信任服务记录的实体为 信托服务记录的实际创建者。 然后,客户计算机系统基于时间有效性检查,完整性检查和签名有效性检查,确定信任服务记录是有效的,并允许客户端计算机系统用户使用经过验证的信任服务记录来执行指定的任务。

    Multidimensional database query extension systems and methods
    7.
    发明申请
    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:US20060020933A1

    公开(公告)日:2006-01-26

    申请号:US11116924

    申请日:2005-04-28

    IPC分类号: G06F9/45

    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,可以从声明性语言查询中存储和调用过程。 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。

    Securely filtering trust services records
    8.
    发明授权
    Securely filtering trust services records 有权
    安全地过滤信任服务记录

    公开(公告)号:US08959351B2

    公开(公告)日:2015-02-17

    申请号:US13614988

    申请日:2012-09-13

    IPC分类号: H04L9/32

    摘要: Embodiments are directed to securely filtering trust services records. In one scenario, a client computer system receives at least one of the following trust services records: a trust services certificate, a principal certificate, a group certificate and a trust services policy. The client computer system performs a time validity check to validate the trust services record's timestamp, performs an integrity check to validate the integrity of the trust services record and performs a signature validity check to ensure that the entity claiming to have created the trust services record is the actual creator of the trust services record. The client computer system then, based on the time validity check, the integrity check and the signature validity check, determines that the trust services record is valid and allows a client computer system user to perform a specified task using the validated trust services record.

    摘要翻译: 实施例针对安全地过滤信任服务记录。 在一种情况下,客户端计算机系统接收以下信任服务记录中的至少一个:信任服务证书,主体证书,组证书和信任服务策略。 客户端计算机系统执行时间有效性检查以验证信任服务记录的时间戳,执行完整性检查以验证信任服务记录的完整性,并执行签名有效性检查,以确保声称已创建信任服务记录的实体为 信托服务记录的实际创建者。 然后,客户计算机系统基于时间有效性检查,完整性检查和签名有效性检查,确定信任服务记录是有效的,并允许客户端计算机系统用户使用经过验证的信任服务记录来执行指定的任务。

    Data domains in multidimensional databases
    9.
    发明授权
    Data domains in multidimensional databases 有权
    多维数据库中的数据域

    公开(公告)号:US07958122B2

    公开(公告)日:2011-06-07

    申请号:US12042707

    申请日:2008-03-05

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30592

    摘要: Systems and method for creating multidimensional data cubes containing data domains for analyzing large amounts of data are provided. Data domains may be included in the major object of a multidimensional data cube. Further embodiments of the present invention provide methods for querying multidimensional data cubes having data domains. Embodiments of the present invention provide for defining data domains by any object in the major object model and for defining parent and child data domains.

    摘要翻译: 提供了用于创建包含用于分析大量数据的数据域的多维数据立方体的系统和方法。 数据域可以包含在多维数据立方体的主要对象中。 本发明的另外的实施例提供了用于查询具有数据域的多维数据立方体的方法。 本发明的实施例提供了通过主要对象模型中的任何对象定义数据域并且用于定义父和子数据域。

    Centralized KPI framework systems and methods
    10.
    发明申请
    Centralized KPI framework systems and methods 有权
    集中的KPI框架系统和方法

    公开(公告)号:US20060010164A1

    公开(公告)日:2006-01-12

    申请号:US11050130

    申请日:2005-02-03

    IPC分类号: G01B5/255

    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。