会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Determining the importance of data items and their characteristics using centrality measures
    • 使用中心性措施确定数据项的重要性及其特征
    • US08818918B2
    • 2014-08-26
    • US13096220
    • 2011-04-28
    • Ching-Yung LinHanghang TongJimeng SunSpyridon PapadimitriouU Kang
    • Ching-Yung LinHanghang TongJimeng SunSpyridon PapadimitriouU Kang
    • G06F17/30G06F15/18
    • G06N5/003
    • Computer-implemented methods, systems, and articles of manufacture for determining the importance of a data item. A method includes: (a) receiving a node graph; (b) approximating a number of neighbor nodes of a node; and (c) calculating a average shortest path length of the node to the remaining nodes using the approximation step, where this calculation demonstrates the importance of a data item represented by the node. Another method includes: (a) receiving a node graph; (b) building a decomposed line graph of the node graph; (c) calculating stationary probabilities of incident edges of a node graph node in the decomposed line graph, and (d) calculating a summation of the stationary probabilities of the incident edges associated with the node, where the summation demonstrates the importance of a data item represented by the node. Both methods have at least one step carried out using a computer device.
    • 用于确定数据项的重要性的计算机实现的方法,系统和制造。 一种方法包括:(a)接收节点图; (b)近似一个节点的邻居节点数; 和(c)使用近似步骤计算节点与剩余节点的平均最短路径长度,其中该计算表明由节点表示的数据项的重要性。 另一种方法包括:(a)接收节点图; (b)构建节点图的分解线图; (c)计算分解线图中节点图形节点的入射边缘的固定概率,以及(d)计算与节点相关联的入射边缘的固定概率的总和,其中求和表示数据项的重要性 由节点表示。 两种方法都使用计算机设备进行至少一个步骤。
    • 6. 发明授权
    • Privacy-aware on-line user role tracking
    • 隐私权在线用户角色跟踪
    • US08775335B2
    • 2014-07-08
    • US13198790
    • 2011-08-05
    • Ching-Yung LinHanghang TongFei Wang
    • Ching-Yung LinHanghang TongFei Wang
    • G06F15/18
    • G06K9/00523G06K9/6247G06Q30/02
    • Access is obtained to a first nonnegative factor matrix and a second nonnegative factor matrix obtained by factorizing a nonnegative asymmetric matrix which represents a set of data which tracks time-stamped activities of a plurality of entities. The first nonnegative factor matrix is representative of initial role membership of the entities, and the second nonnegative factor matrix is representative of initial role activity descriptions. At a given one of the time stamps, while holding a change in the first nonnegative factor matrix constant, a change in the second nonnegative factor matrix is updated to reflect time variance of the set of data at the given one of the time stamps, without accessing actual data values at previous ones of the time stamps. At the given one of the time stamps, while holding a change in the second nonnegative factor matrix constant, a change in the first nonnegative factor matrix is updated, to reflect the time variance of the set of data at the given one of the time stamps, without accessing the actual data values at the previous ones of the time stamps. The role membership of the entities and the role activity descriptions, at the given one of the time stamps, are updated based on the updating steps. A suitable technique for nonnegative symmetric matrices is also provided.
    • 获得第一非负因子矩阵和第二非负因子矩阵,该第二非负因子矩阵通过对表示一组跟踪多个实体的时间戳活动的数据的非负非对称矩阵进行分解而获得。 第一个非负因子矩阵代表实体的初始角色成员,第二个非负因子矩阵代表初始角色活动描述。 在给定的一个时间戳中,在保持第一非负因子矩阵常数的变化的同时,更新第二非负因子矩阵的变化,以反映给定的一个时间戳上的数据集的时间方差,而没有 访问以前的时间戳的实际数据值。 在给定的一个时间标记中,在保持第二非负因子矩阵常数的变化的同时,更新第一非负因子矩阵的变化,以反映给定的一个时间戳的数据集的时间方差 ,而不访问前一个时间戳的实际数据值。 在给定的一个时间戳上,实体的角色成员身份和角色活动描述将根据更新步骤进行更新。 还提供了一种用于非负对称矩阵的合适技术。