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    • 96. 发明授权
    • Join paths across multiple databases
    • 连接多个数据库的路径
    • US08176036B2
    • 2012-05-08
    • US12605038
    • 2009-10-23
    • Divesh SrivastavaIoannis Kotidis
    • Divesh SrivastavaIoannis Kotidis
    • G06F7/00G06F17/30
    • G06F17/30442Y10S707/99933
    • Methods, systems and computer instructions on computer readable media are disclosed for optimizing a query, including a first join path, a second join path, and an optimizer, to efficiently provide high quality information from large, multiple databases. The methods and systems include evaluating a schema graph identifying the join paths between a field X and a field Y, and a value X=x, to identify the top-few values of Y=y that are reachable from a specified X=x value when using the join paths. Each data path that instantiates the schema join paths can be scored and evaluated as to the quality of the data with respect to specified integrity constraints to alleviate data quality problems. Agglomerative scoring methodologies can be implemented to compute high quality information in the form of a top-few answers to a specified problem as requested by the query.
    • 公开了用于优化包括第一连接路径,第二连接路径和优化器的查询的方法,系统和计算机指令,以有效地从大型多个数据库提供高质量信息。 方法和系统包括评估标识场X和场Y之间的连接路径的模式图,以及值X = x,以识别从指定的X = x值可达到的Y = y的最低值 当使用连接路径时。 实例化模式连接路径的每个数据路径可以根据指定的完整性约束对数据的质量进行评分和评估,以减轻数据质量问题。 可以实施聚集评分方法,以按照查询请求的特定问题的最佳答案形式计算高质量信息。
    • 97. 发明授权
    • Methods and apparatus to determine statistical dominance point descriptors for multidimensional data
    • 确定多维数据统计优势点描述符的方法和装置
    • US08160837B2
    • 2012-04-17
    • US12334252
    • 2008-12-12
    • Graham CormodePhilip KornDivesh Srivastava
    • Graham CormodePhilip KornDivesh Srivastava
    • G06F17/18
    • G06F17/18Y10S707/99932Y10S707/99948
    • Methods and apparatus to determine statistical dominance point descriptors for multidimensional data are disclosed. An example method disclosed herein comprises determining a first joint dominance value for a first data point in a multidimensional data set, data points in the multidimensional data set comprising multidimensional values, each dimension corresponding to a different measurement of a physical event, the first joint dominance value corresponding to a number of data points in the multidimensional data set dominated by the first data point in every dimension, determining a first skewness value for the first data point, the first skewness value corresponding to a size of a first dimension of the first data point relative to a combined size of all dimensions of the first data point, and combining the first joint dominance and first skewness values to determine a first statistical dominance point descriptor associated with the first data point.
    • 公开了确定多维数据的统计优势点描述符的方法和装置。 本文公开的示例性方法包括确定多维数据集中的第一数据点的第一联合优势值,所述多维数据集中的数据点包括多维值,每个维度对应于物理事件的不同测量,第一联合优势 对应于由每个维度中的第一数据点主导的多维数据集中的多个数据点的数值,确定第一数据点的第一偏差值,第一偏差值对应于第一数据的第一维度的大小 相对于第一数据点的所有维度的组合尺寸,以及组合第一联合优势和第一偏移值以确定与第一数据点相关联的第一统计优势点描述符。