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Space- and time-efficient management and summarization of data using intermediate summary structure and hierarchical multidimensional histogram

机译:使用中间摘要结构和分层多维直方图来进行时空高效的数据管理和摘要

摘要

A method maintains a multidimensional histogram for a data array having a data array size, the method having a processing time substantially less than proportional to the data array size. The method involves (104) receiving a data update that indicates a change to data in the data array; (106) with the data update, updating an intermediate data structure having a size substantially smaller than the data array size, so that the updated intermediate data structure remains an at-least-approximate representation of the data in the data array as changed by the data update; (110) collecting a number of substantially-largest-coefficient linear combinations of then-current data, the number being small compared with the data array size; and (114) forming the multidimensional histogram as a histogram to an intermediate data array re synthesized from the collected linear combinations. Another method prepares a multidimensional histogram for a data array, the data array characterized by a data array size and including data, the method having an execution time proportional to the data array size and using an amount of storage space substantially smaller than the data array size. The method involves (802) receiving data from the data array; (802) transforming the data into linear combinations of data items, or of approximations of the linear combinations of data items; (804) collecting a moderate number of substantially-largest-coefficient linear combinations of the data; and (806) forming the multidimensional histogram as a histogram to the collected linear combinations.
机译:一种方法为具有数据阵列大小的数据阵列维护多维直方图,该方法的处理时间基本上小于与数据阵列大小成比例的时间。该方法涉及( 104 )接收数据更新,该数据更新指示数据数组中数据的更改; ( 106 )进行数据更新,从而更新中间数据结构,该中间数据结构的大小显着小于数据数组的大小,以便更新后的中间数据结构至少保留数据中的数据数据更新所更改的数据数组; ( 110 )收集了当时数据的基本上最大系数的线性组合,该数目与数据数组大小相比较小; ( 114 )形成多维直方图,作为从收集的线性组合重新合成的中间数据数组的直方图。另一种方法为数据阵列准备多维直方图,该数据阵列的特征在于数据阵列大小并且包括数据,该方法的执行时间与数据阵列大小成比例,并且使用的存储空间量明显小于数据阵列大小。该方法涉及( 802 )从数据数组接收数据; ( 802 )将数据转换为数据项的线性组合或数据项线性组合的近似值; ( 804 )收集中等数量的基本上最大系数的线性组合数据;和( 806 )构成多维直方图,作为所收集线性组合的直方图。

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