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    • 2. 发明授权
    • Statistical models for improving the performance of database operations
    • 提高数据库操作性能的统计模型
    • US07149649B2
    • 2006-12-12
    • US10479991
    • 2002-05-15
    • Michael HaftReimar Hofmann
    • Michael HaftReimar Hofmann
    • G06F19/00G06F15/00
    • G06F17/30539G06F17/3061
    • A method for performing an automatic software-driven statistical evaluation of a large amount of data to be assigned to statistical variables in a database contained in at least one cluster. The method is characterized by using a statistical model to model an approximate description of a relative frequency of the state or states of the statistical variables and a statistical dependencies between the state or states, and then determining the approximate relative frequency of the state or states of the statistical variables and the approximate relative frequency belonging to a predetermined relative frequency of the state or states of the statistical variables and an expected value of the state or states of the statistical variables dependent thereon.
    • 一种用于对包含在至少一个集群中的数据库中的统计变量分配的大量数据进行自动软件驱动统计评估的方法。 该方法的特征在于使用统计模型来模拟统计变量的状态或状态的相对频率的近似描述以及状态或状态之间的统计依赖性,然后确定状态或状态的近似相对频率 统计变量和属于统计变量的状态或状态的预定相对频率的估计相对频率以及依赖于其的统计变量的状态或状态的期望值。
    • 4. 发明申请
    • Statistical models for improving the performance of database operations
    • 提高数据库操作性能的统计模型
    • US20070083343A1
    • 2007-04-12
    • US11581452
    • 2006-10-17
    • Michael HaftReimar Hofmann
    • Michael HaftReimar Hofmann
    • G06F19/00
    • G06F16/30G06F16/2465
    • A method for performing an automatic software-driven statistical evaluation of a large amount of data to be assigned to statistical variables in a database contained in at least one cluster. The method is characterized by using a statistical model to model an approximate description of a relative frequency of the state or states of the statistical variables and a statistical dependencies between the state or states, and then determining the approximate relative frequency of the state or states of the statistical variables and the approximate relative frequency belonging to a predetermined relative frequency of the state or states of the statistical variables and an expected value of the state or states of the statistical variables dependent thereon.
    • 一种用于对包含在至少一个集群中的数据库中的统计变量分配的大量数据进行自动软件驱动统计评估的方法。 该方法的特征在于使用统计模型来模拟统计变量的状态或状态的相对频率的近似描述以及状态或状态之间的统计依赖性,然后确定状态或状态的近似相对频率 统计变量和属于统计变量的状态或状态的预定相对频率的估计相对频率以及依赖于其的统计变量的状态或状态的期望值。
    • 5. 发明授权
    • Energy benchmarking analytics
    • 能源基准分析
    • US08660868B2
    • 2014-02-25
    • US13239833
    • 2011-09-22
    • Andreas VogelSimon LeeZhe PuAlan SouthallMichael HaftChristine Preisach
    • Andreas VogelSimon LeeZhe PuAlan SouthallMichael HaftChristine Preisach
    • G06Q10/00
    • G06Q10/06Y02P90/82
    • A benchmarking computing application is configured to create a benchmark run for a segment of customer profiles. Customer profiles from the segment include a parameter, termed an adjustment parameter, that may affect energy consumption by the associated customer. The results of the benchmark run include energy consumption values for individual customer profiles in the segment, an average energy consumption value for the entire segment of customer profiles, and also adjustment energy consumption value. The adjustment energy consumption value reflects the portion of energy consumption by a particular customer attributed to the difference between the average value of the adjustment parameter for the segment and the value of the adjustment parameter for the particular customer profile.
    • 基准测试计算应用程序被配置为为客户配置文件的一部分创建基准运行。 来自分段的客户配置文件包括可能影响相关客户的能源消耗的参数,称为调整参数。 基准测试的结果包括该部门个别客户资料的能耗值,整个客户资料部分的平均能耗值,以及调整能耗值。 调整能量消耗值反映了特定顾客的能量消耗部分,归因于该段的调整参数的平均值与特定客户简档的调整参数的值之间的差异。