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    • 23. 发明申请
    • System and method for determining an element value in private datasets
    • 用于确定私有数据集中元素值的系统和方法
    • US20060095378A1
    • 2006-05-04
    • US10976558
    • 2004-10-29
    • Gagan AggarwalNina MishraBinyamin Pinkas
    • Gagan AggarwalNina MishraBinyamin Pinkas
    • G06Q99/00
    • G06F17/30536G06Q10/04
    • A system and method is disclosed for determining a value of an element, having a k-th rank. The method discloses: calculating a total number of elements in a first and second dataset; prohibiting parties from accessing each other's dataset; ranking the elements within each dataset; computing a total number of elements in the datasets each having a value less than a test value; computing a total number of elements in the datasets each having a value greater than the test value; and setting the value of the element, having the k-th rank, equal to the test value, if the total number of elements having values less than the test value is ≦ the k-th rank minus one, and the total number of elements having values greater than the test value is ≦ the total number of elements minus the k-th rank. The system discloses means for practicing the method.
    • 公开了一种用于确定具有第k等级的元素的值的系统和方法。 该方法公开:计算第一和第二数据集中的元素的总数; 禁止各方访问对方的数据集; 排列每个数据集中的元素; 计算每个具有小于测试值的值的数据集中的元素的总数; 计算每个具有大于测试值的值的数据集中的元素的总数; 并且如果具有小于测试值的值的元素的总数为<=第k个等级减去1,则将具有第k个等级的元素的值设置为等于测试值 具有大于测试值的值的元素是<=元素的总数减去第k个等级。 该系统公开了实施该方法的手段。
    • 24. 发明申请
    • Method and system for clustering computers into peer groups and comparing individual computers to their peers
    • 将计算机集群到对等组中并将各个计算机与其对等体进行比较的方法和系统
    • US20050289071A1
    • 2005-12-29
    • US10876865
    • 2004-06-25
    • Todd GoinRandall CampbellJames StingerThomas FawcettDouglas SteeleNina MishraHenri Suermondt
    • Todd GoinRandall CampbellJames StingerThomas FawcettDouglas SteeleNina MishraHenri Suermondt
    • H04K1/00
    • G06F11/008
    • A method and system for identifying clusters of similarly-configured computers. The method, for example, comprises gathering system and business configuration information values from a set of computers. Next, at least a portion of the system and business configuration information values gathered from the set of computers is analyzed along with the numbers of computers that are configured in various ways. Then, using the result of the analysis as a guide, logical expressions of configuration information values are selected for use as definitions of one or more clusters of similarly-configured computers, the selection process generally maximizing the number of computers included within each cluster and also generally maximizing the number of configuration information value specifications included within the definition of each cluster. Then, for one or more clusters so defined and selected, one or more statistics or limit values are generated from one or more configuration information values or both gathered from the subset of computers included in the one or more clusters.
    • 用于识别类似配置的计算机的群集的方法和系统。 该方法例如包括从一组计算机收集系统和业务配置信息值。 接下来,分析从该组计算机收集的系统和业务配置信息值的至少一部分以及以各种方式配置的计算机的数量。 然后,使用分析结果作为指导,选择配置信息值的逻辑表达式用作一个或多个类似配置的计算机的集群的定义,所述选择过程通常最大化包括在每个集群内的计算机的数量,并且还 通常最大化每个集群定义中包含的配置信息值规范的数量。 然后,对于如此定义和选择的一个或多个集群,从一个或多个配置信息值或从包含在一个或多个集群中的计算机子集收集的二者生成一个或多个统计值或限制值。