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    System and method for classifying data
    2.
    发明授权
    System and method for classifying data 有权
    用于分类数据的系统和方法

    公开(公告)号：US09501744B1

    公开(公告)日：2016-11-22

    申请号：US13906246

    申请日：2013-05-30

    申请人： Quest Software, Inc.

    发明人： Michel Brisebois ,  Jason Aylesworth ,  Curtis Johnstone ,  Andrew John Leach ,  Elena Vinogradov ,  Joel Stacy Blaiberg ,  Stephen Pope ,  Shawn Donald Holmesdale ,  Guangning Hu

    IPC分类号： G06N5/04

    CPC分类号： G06N5/048 ,  G06N5/003

    摘要： In one embodiment, a method includes providing an a priori classification engine, an a posteriori classification engine, and a heuristics engine. The a priori classification engine is operable to perform an a priori classification. The a posteriori classification engine is operable to perform an a posteriori classification. The heuristics engine is operable to perform a heuristics classification. In addition, the method includes accessing data from at least one source. The method further includes, responsive to an indication that the a priori classification should be performed, performing the a priori classification on the data. The method also includes, responsive to an indication that the a posteriori classification should be performed, performing the a posteriori classification on the data. Further, the method includes, responsive to an indication that the heuristics classification should be performed, performing the heuristics classification on the data.

    摘要翻译： 在一个实施例中，一种方法包括提供先验分类引擎，后验分类引擎和启发式引擎。 先验分类引擎可操作以执行先验分类。 后验分类引擎可操作以执行后验分类。 启发式引擎可操作以执行启发式分类。 此外，该方法包括从至少一个源访问数据。 该方法还包括响应于应当执行先验分类的指示，对数据执行先验分类。 该方法还包括响应于应该执行后验分类的指示，对数据执行后验分类。 此外，该方法包括响应于应该执行启发式分类的指示，对数据执行启发式分类。

    System and method for querying data
    3.
    发明授权
    System and method for querying data 有权
    用于查询数据的系统和方法

    公开(公告)号：US09390240B1

    公开(公告)日：2016-07-12

    申请号：US13906255

    申请日：2013-05-30

    申请人： Quest Software, Inc.

    发明人： Michel Brisebois ,  Jason Aylesworth ,  Curtis Johnstone ,  Andrew John Leach ,  Elena Vinogradov ,  Joel Stacy Blaiberg ,  Stephen Pope ,  Shawn Donald Holmesdale ,  Guangning Hu

    IPC分类号： G06F21/31 ,  G06F17/30 ,  H04L9/32 ,  H04L29/06

    CPC分类号： G06F21/31 ,  G06F17/30705 ,  G06F21/62 ,  H04L9/32 ,  H04L63/08 ,  H04L63/101

    摘要： In one embodiment, a method includes maintaining, by a computer system, a plurality of data and at least one classification for each of the plurality of data. Each data of the plurality of data is aggregated from a plurality data sources and is abstracted into one or more of a plurality of standardized formats based on a type of the data. The computer system has executing thereon a plurality of classification engines. The plurality of classification engines include an a priori classification engine, an a posteriori classification engine, and a heuristics engine. Each at least one classification is generated by one of the plurality of classification engines. In addition, the method includes receiving query input from a user. Further, the method includes querying at least a portion of the plurality of data responsive to the query input.

    摘要翻译： 在一个实施例中，一种方法包括由计算机系统维护多个数据和用于多个数据中的每一个的至少一个分类。 多个数据的每个数据从多个数据源聚合，并且基于数据的类型被抽象成多个标准化格式中的一个或多个。 计算机系统在其上执行多个分类引擎。 多个分类引擎包括先验分类引擎，后验分类引擎和启发式引擎。 每个至少一个分类由多个分类引擎之一生成。 此外，该方法包括从用户接收查询输入。 此外，该方法包括响应于查询输入来查询多个数据的至少一部分。

    System and method for data aggregation and analysis
    4.
    发明授权
    System and method for data aggregation and analysis 有权

    公开(公告)号：US10146954B1

    公开(公告)日：2018-12-04

    申请号：US15664849

    申请日：2017-07-31

    申请人： Quest Software Inc.

    发明人： Michel Albert Brisebois ,  Jason Aylesworth ,  Curtis T. Johnstone ,  Andrew John Leach ,  Elena V. Vinogradov ,  Joel Stacy Blaiberg ,  Stephen Pope ,  Shawn Donald Holmesdale ,  GuangNing Hu

    IPC分类号： G06F21/62 ,  G06F17/30

    摘要： In one embodiment, a method includes managing and controlling a plurality of data-access credentials. The method further includes accessing data from a plurality, of sources in a plurality of data formats. The accessing includes using one or more data-access credentials of the plurality of data-access credentials. The one or more data-access credentials are associated with at least a portion of the plurality of data sources. The method also includes abstracting the data into a standardized format for further analysis. The abstracting includes selecting the standardized format based on a type of the data. In addition, the method includes applying a security policy to the data. The applying includes identifying at least a portion of the data for exclusion from storage based on the security policy. Additionally, the method includes filtering from storage any data identified for exclusion. Further, the method includes storing the data in the standardized format.