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    • 4. 发明申请
    • METHODS AND APPARATUS FOR REPRESENTING PROBABILISTIC DATA USING A PROBABILISTIC HISTOGRAM
    • 使用概率组织表示概率数据的方法和装置
    • US20110145223A1
    • 2011-06-16
    • US12636544
    • 2009-12-11
    • Graham CormodeAntonios DeligiannakisMinos GarofalakisAndrew Iain Shaw McGregor
    • Graham CormodeAntonios DeligiannakisMinos GarofalakisAndrew Iain Shaw McGregor
    • G06F17/30
    • G06F17/30536
    • Methods and apparatus for representing probabilistic data using a probabilistic histogram are disclosed. An example method comprises partitioning a plurality of ordered data items into a plurality of buckets, each of the data items capable of having a data value from a plurality of possible data values with a probability characterized by a respective individual probability distribution function (PDF), each bucket associated with a respective subset of the ordered data items bounded by a respective beginning data item and a respective ending data item, and determining a first representative PDF for a first bucket associated with a first subset of the ordered data items by partitioning the plurality of possible data values into a first plurality of representative data ranges and respective representative probabilities based on an error between the first representative PDF and a first plurality of individual PDFs characterizing the first subset of the ordered data items.
    • 公开了使用概率直方图表示概率数据的方法和装置。 一种示例性方法包括将多个有序数据项划分成多个桶,每个数据项能够具有来自多个可能数据值的数据值,其特征在于各自的概率分布函数(PDF), 每个桶与由相应的开始数据项和相应的结束数据项限定的有序数据项的相应子集相关联,并且通过分割多个数据项来确定与有序数据项的第一子集相关联的第一个桶的第一代表性PDF 基于第一代表性PDF和表征有序数据项的第一子集的第一多个单独PDF之间的误差,将可能的数据值转换成第一多个代表性数据范围和相应的代表概率。
    • 5. 发明申请
    • FORWARD DECAY TEMPORAL DATA ANALYSIS
    • 前向衰减时间数据分析
    • US20110066600A1
    • 2011-03-17
    • US12560214
    • 2009-09-15
    • Graham CormodeVladislav ShkapenyukDivesh SrivastavaBojian Xu
    • Graham CormodeVladislav ShkapenyukDivesh SrivastavaBojian Xu
    • G06F17/30
    • G06F17/30551G06F17/30289G06F17/30516
    • A disclosed method for implementing time decay in the analysis of streaming data objects is based on the age, referred to herein as the forward age, of a data object measured from a landmark time in the past to a time associated with the occurrence of the data object, e.g., an object's timestamp. A forward time decay function is parameterized on the forward age. Because a data object's forward age does not depend on the current time, a value of the forward time decay function is determined just once for each data object. A scaling factor or weight associated with a data object may be weighted according to its decay function value. Forward time decay functions are beneficial in determining decayed aggregates, including decayed counts, sums, and averages, decayed minimums and maximums, and for drawing decay-influenced samples.
    • 用于在流数据对象的分析中实现时间衰减的公开方法基于从过去的地标时间测量到与数据的出现相关联的时间的数据对象的年龄(这里称为远期时间) 对象,例如对象的时间戳。 前进时间衰减函数在前进时间参数化。 因为数据对象的转发时间不依赖于当前时间,因此对于每个数据对象仅确定一次正向时间衰减函数的值。 可以根据其衰减函数值对与数据对象相关联的缩放因子或权重进行加权。 前向时间衰减函数有助于确定衰变的聚集体,包括衰变计数,总和和平均值,衰减最小值和最大值,以及绘制衰变影响样本。
    • 9. 发明授权
    • Efficient publication of sparse data
    • 有效发布稀疏数据
    • US09251216B2
    • 2016-02-02
    • US13111154
    • 2011-05-19
    • Graham CormodeCecilia ProcopiucDivesh SrivastavaThanh Tran
    • Graham CormodeCecilia ProcopiucDivesh SrivastavaThanh Tran
    • G06F17/30G06F21/62
    • 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。