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    • 66. 发明申请
    • Efficient Publication of Sparse Data
    • 有效发布稀疏数据
    • US20120296898A1
    • 2012-11-22
    • US13111154
    • 2011-05-19
    • Graham CormodeCecilia ProcopiucDivesh SrivastavaThanh Tran
    • Graham CormodeCecilia ProcopiucDivesh SrivastavaThanh Tran
    • G06F17/30
    • G06F17/30522G06F21/6254
    • The present disclosure is directed to systems, methods, and computer-readable storage media for publishing data. A data summary summarizing the data can be generated and published according to several publishing schemes. In some embodiments, non-zero entries are selected and modified and zero entries are sampled according to one or more distribution functions. The sampled and modified values are added to a data summary, or a sample of the sampled and modified values are added to the data summary. The data summary is published, released, used, or otherwise output. In other embodiments, priority values are assigned to each value associated with the data, and a number of entries with the highest values are selected and added to the data summary.
    • 本公开涉及用于发布数据的系统,方法和计算机可读存储介质。 总结数据的数据摘要可以根据多个发布方案生成和发布。 在一些实施例中,选择和修改非零条目,并根据一个或多个分配函数对零条目进行采样。 将采样和修改的值添加到数据摘要中,或将采样和修改的值的样本添加到数据摘要中。 数据摘要已发布,发布,使用或以其他方式输出。 在其他实施例中,将优先级值分配给与数据相关联的每个值,并且选择具有最高值的多个条目并将其添加到数据摘要。
    • 68. 发明授权
    • Database analysis using clusters
    • 使用群集的数据库分析
    • US08161048B2
    • 2012-04-17
    • US12463161
    • 2009-05-08
    • Cecilia Magdalena ProcopiucDivesh Srivastava
    • Cecilia Magdalena ProcopiucDivesh Srivastava
    • G06F7/00G06F17/00
    • G06F17/30312
    • A method for mapping relationships in a database results in a cluster graph. A representative sample of records in each of a plurality of tables in the database is analyzed for nearest neighbor join edges instantiated by the record. Records with corresponding nearest neighbor join edges are grouped into clusters. Cluster pairs which share a join relationship between two tables are identified. A weighting may be applied to cluster pairs based on the number of records for the cluster pair. Meaningful cluster pairs above a weighted threshold may be ordered according to table and displayed as a cluster graph. Analyses of the cluster graph may reveal important characteristics of the database.
    • 用于映射数据库中的关系的方法产生一个聚类图。 分析数据库中的多个表中的每个表中的记录的代表性样本,用于由记录实例化的最近邻联接边。 具有相应最近邻联接边的记录被分组成簇。 识别共享两个表之间的连接关系的集群对。 可以基于簇对的记录数将加权应用于集群对。 高于加权阈值的有意义的集群对可以根据表进行排序并显示为聚类图。 聚类图的分析可能揭示数据库的重要特征。