Method and apparatus for automatically discovering features in free form heterogeneous data
    1.
    发明授权
    Method and apparatus for automatically discovering features in free form heterogeneous data 有权
    用于自由发现异构数据中的特征的方法和装置

    公开(公告)号:US08108413B2

    公开(公告)日:2012-01-31

    申请号:US11675396

    申请日:2007-02-15

    IPC分类号: G06F7/00

    CPC分类号: G06F17/30705 G06Q10/10

    摘要: Techniques are provided for automatically discovering one or more features in free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, wherein the data comprises one or more data items, applying a label to each data item, using the labeled data to build a language model, wherein a word distribution associated with each label can be derived from the model, and using the word distribution associated with each label to discover one or more features in the data, wherein discovering one or more features in the data facilitates one or more operations that use at least a portion of the labeled data.

    摘要翻译: 提供了自动发现异构数据中的一个或多个特征的技术。 在本发明的一个方面,所述技术包括获得自由形式的异构数据,其中所述数据包括一个或多个数据项,使用所述标记的数据对每个数据项应用标签,以构建语言模型,其中与 每个标签可以从模型导出,并且使用与每个标签相关联的字分布来发现数据中的一个或多个特征,其中发现数据中的一个或多个特征有利于一个或多个使用至少一部分 标记数据。

    Method and Apparatus for Automatically Structuring Free Form Heterogeneous Data
    2.
    发明申请
    Method and Apparatus for Automatically Structuring Free Form Heterogeneous Data 有权
    自动构造自由形式异构数据的方法和装置

    公开(公告)号:US20100017350A1

    公开(公告)日:2010-01-21

    申请号:US12556275

    申请日:2009-09-09

    IPC分类号: G06F15/18

    摘要: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

    摘要翻译: 提供了自动构建自由形式异构数据的技术。 在本发明的一个方面,所述技术包括获得自由形式的异构数据,将自由形式的异构数据分割为一个或多个单元,基于一个或多个机器学习技术自动地标记所述一个或多个单元,其中每个单元与 指示信息类型的标签,并且以格式构造一个或多个标记单元,以便于使用至少一部分标记单元的一个或多个操作,例如信息技术(IT)操作。

    METHOD AND APPARATUS FOR AUTOMATICALLY STRUCTURING FREE FORM HETERGENEOUS DATA
    3.
    发明申请
    METHOD AND APPARATUS FOR AUTOMATICALLY STRUCTURING FREE FORM HETERGENEOUS DATA 有权
    自动结构自由形式空间数据的方法和装置

    公开(公告)号:US20080201279A1

    公开(公告)日:2008-08-21

    申请号:US11675392

    申请日:2007-02-15

    IPC分类号: G06F15/18 G06F17/30

    摘要: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

    摘要翻译: 提供了自动构建自由形式异构数据的技术。 在本发明的一个方面,所述技术包括获得自由形式的异构数据,将自由形式的异构数据分割为一个或多个单元,基于一个或多个机器学习技术自动地标记所述一个或多个单元,其中每个单元与 指示信息类型的标签,并且以格式构造一个或多个标记单元,以便于使用至少一部分标记单元的一个或多个操作,例如信息技术(IT)操作。

    METHOD AND APPARATUS FOR AUTOMATICALLY DISCOVERING FEATURES IN FREE FORM HETEROGENEOUS DATA
    4.
    发明申请
    METHOD AND APPARATUS FOR AUTOMATICALLY DISCOVERING FEATURES IN FREE FORM HETEROGENEOUS DATA 有权
    自动发现特征异物数据的方法和装置

    公开(公告)号:US20080201131A1

    公开(公告)日:2008-08-21

    申请号:US11675396

    申请日:2007-02-15

    IPC分类号: G06F17/27

    CPC分类号: G06F17/30705 G06Q10/10

    摘要: Techniques are provided for automatically discovering one or more features in free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, wherein the data comprises one or more data items, applying a label to each data item, using the labeled data to build a language model, wherein a word distribution associated with each label can be derived from the model, and using the word distribution associated with each label to discover one or more features in the data, wherein discovering one or more features in the data facilitates one or more operations that use at least a portion of the labeled data.

    摘要翻译: 提供了自动发现异构数据中的一个或多个特征的技术。 在本发明的一个方面,所述技术包括获得自由形式的异构数据,其中所述数据包括一个或多个数据项,使用所述标记的数据对每个数据项应用标签,以构建语言模型,其中与 每个标签可以从模型导出,并且使用与每个标签相关联的字分布来发现数据中的一个或多个特征,其中发现数据中的一个或多个特征有利于一个或多个使用至少一部分 标记数据。

    Method and apparatus for automatically structuring free form heterogeneous data
    5.
    发明授权
    Method and apparatus for automatically structuring free form heterogeneous data 有权
    自动构建异构数据的自由结构的方法和装置

    公开(公告)号:US09477963B2

    公开(公告)日:2016-10-25

    申请号:US12556275

    申请日:2009-09-09

    IPC分类号: G06F15/18 G06Q30/02 G06F17/27

    摘要: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

    摘要翻译: 提供了自动构建自由形式异构数据的技术。 在本发明的一个方面,所述技术包括获得自由形式的异构数据,将自由形式的异构数据分割为一个或多个单元,基于一个或多个机器学习技术自动地标记所述一个或多个单元,其中每个单元与 指示信息类型的标签,并且以格式构造一个或多个标记单元,以便于使用至少一部分标记单元的一个或多个操作,例如信息技术(IT)操作。

    Method and apparatus for automatically structuring free form hetergeneous data
    6.
    发明授权
    Method and apparatus for automatically structuring free form hetergeneous data 有权
    自动构建自由形式异构数据的方法和装置

    公开(公告)号:US08996587B2

    公开(公告)日:2015-03-31

    申请号:US11675392

    申请日:2007-02-15

    IPC分类号: G06F17/30 G06Q30/02 G06F17/27

    摘要: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

    摘要翻译: 提供了自动构建自由形式异构数据的技术。 在本发明的一个方面,所述技术包括获得自由形式的异构数据,将自由形式的异构数据分割为一个或多个单元,基于一个或多个机器学习技术自动地标记所述一个或多个单元,其中每个单元与 指示信息类型的标签,并且以格式构造一个或多个标记单元,以便于使用至少一部分标记单元的一个或多个操作,例如信息技术(IT)操作。

    Performance degradation root cause prediction in a distributed computing system
    8.
    发明授权
    Performance degradation root cause prediction in a distributed computing system 失效
    分布式计算系统中性能退化的根本原因预测

    公开(公告)号:US07412448B2

    公开(公告)日:2008-08-12

    申请号:US11435411

    申请日:2006-05-17

    IPC分类号: G06F7/10 G06F17/30

    摘要: A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

    摘要翻译: 识别分布式计算系统中至少一个资源的方法,该系统是系统性能下降的潜在根本原因,包括以下步骤:计算系统的操作界限和系统中至少一个资源的操作界限; 将当前的端到端系统性能与系统的操作范围进行比较; 当所述当前端对端系统性能超出所述系统的操作限制时,将所述系统中所述至少一个资源的当前性能与所述至少一个资源的操作界限进行比较; 以及生成识别系统中的至少一个资源的至少一个输出,其是系统的性能退化的潜在根本原因。

    Performance degradation root cause prediction in a distributed computing system
    9.
    发明授权
    Performance degradation root cause prediction in a distributed computing system 失效
    分布式计算系统中性能退化的根本原因预测

    公开(公告)号:US08161058B2

    公开(公告)日:2012-04-17

    申请号:US12056530

    申请日:2008-03-27

    IPC分类号: G06F7/00

    摘要: A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

    摘要翻译: 识别分布式计算系统中至少一个资源的方法,该系统是系统性能下降的潜在根本原因,包括以下步骤:计算系统的操作界限和系统中至少一个资源的操作界限; 将当前的端到端系统性能与系统的操作范围进行比较; 当所述当前端对端系统性能超出所述系统的操作限制时,将所述系统中所述至少一个资源的当前性能与所述至少一个资源的操作界限进行比较; 以及生成识别系统中的至少一个资源的至少一个输出,其是系统的性能退化的潜在根本原因。