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    • 14. 发明授权
    • 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
    • US08738387B2
    • 2014-05-27
    • US10976558
    • 2004-10-29
    • Gagan AggarwalNina MishraBinyamin Pinkas
    • Gagan AggarwalNina MishraBinyamin Pinkas
    • G06Q10/00
    • 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; 如果具有小于测试值的元素的总数为&nlE,则将具有第k个等级的元素的值设置为等于测试值; 第k个等级减去1,并且具有大于测试值的值的元素的总数为≦̸ 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。
    • 16. 发明授权
    • Method and system for finding conjunctive clusters
    • 查找联合群集的方法和系统
    • US07739313B2
    • 2010-06-15
    • US10448899
    • 2003-05-30
    • Nina MishraDana RonRam Swaminathan
    • Nina MishraDana RonRam Swaminathan
    • G06F7/00G06F17/30
    • G06K9/6218
    • A method and system for finding a conjunctive cluster is disclosed. The method includes identifying a first group of points, identifying a second group of points, drawing a first sample from the first group of points of a first predetermined size and identifying subsets of the first sample. For each subset of the first sample of a second predetermined size the method includes identifying a subgroup of the second group of points that share an intersection with all of the points in the first sample of points, identifying a sub group of said first group of points that share an intersection with a specified number of the points in the subgroup of the second group of points and outputting a third group of points. It should be appreciated that the product of the magnitude of the subgroup of the second group and the magnitude of the subgroup of the first group is maximized.
    • 公开了一种用于寻找连接簇的方法和系统。 该方法包括识别第一组点,识别第二组点,从第一预定尺寸的第一组点绘制第一样本并识别第一样本的子集。 对于第二预定大小的第一样本的每个子集,该方法包括识别与第一点样本中的所有点共享交集的第二组点的子组,识别所述第一组点的子组 其与第二组点的子组中的指定数量的点共享交叉点并输出第三组点。 应当理解,第二组的子组的大小和第一组的子组的大小的乘积最大化。
    • 18. 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。
    • 19. 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。
    • 20. 发明授权
    • Synopsis of a search log that respects user privacy
    • 搜索日志的简要说明,尊重用户隐私
    • US08601024B2
    • 2013-12-03
    • US12485058
    • 2009-06-16
    • Krishnaram KenthapadiAleksandra KorolovaNina MishraAlexandros Ntoulas
    • Krishnaram KenthapadiAleksandra KorolovaNina MishraAlexandros Ntoulas
    • G06F17/30
    • G06F17/30867
    • Described is releasing output data representing a search log, in which the data is suitable for most data mining/analysis applications, but is safe to publish by preserving user privacy. The search log is processed such that a query is only included if a sufficient count of that query is present; noise may be added. User contributions that are considered may be limited to a maximum number of queries. The output may indicate how often (possibly plus noise) that each query appeared. Other output may comprise a query-action graph, a query-inaction graph and/or a query-reformulation graph, with nodes representing queries and nodes representing actions, inactions or reformulations (e.g., clicked URLs, skipped URLs, or selected related queries), and edges between nodes representing action, skip or selection counts (possibly plus noise). The output may correspond to the top results/related queries returned from a search.
    • 描述了释放表示搜索日志的输出数据,其中数据适用于大多数数据挖掘/分析应用程序,但通过保护用户隐私来安全地发布。 处理搜索日志,使得仅当存在该查询的足够计数时才包括查询; 可能会添加噪音。 被考虑的用户贡献可能被限制为最大数量的查询。 输出可以指示每个查询出现的频率(可能加噪声)。 其他输出可以包括查询动作图,查询反应图和/或查询重构图,其中节点表示查询和节点,表示动作,不作为或重新设定(例如,点击的URL,跳过的URL或选择的相关查询) ,并且节点之间的边缘表示动作,跳过或选择计数(可能加上噪声)。 输出可以对应于从搜索返回的最高结果/相关查询。