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    • 1. 发明申请
    • Processing data using sequential dependencies
    • 使用顺序依赖来处理数据
    • US20110131170A1
    • 2011-06-02
    • US12592586
    • 2009-11-30
    • Lukasz GolabHoward KarloffPhilip KornDivesh SrivastavaAvishek Saha
    • Lukasz GolabHoward KarloffPhilip KornDivesh SrivastavaAvishek Saha
    • G06N5/02
    • G06N7/00G06N5/00
    • The specification describes data processes for analyzing large data steams for target anomalies. “Sequential dependencies” (SDs) are chosen for ordered data and present a framework for discovering which subsets of the data obey a given sequential dependency. Given an interval G, an SD on attributes X and Y, written as X→G Y, denotes that the distance between the Y-values of any two consecutive records, when sorted on X, are within G. SDs may be extended to Conditional Sequential Dependencies (CSDs), consisting of an underlying SD plus a representation of the subsets of the data that satisfy the SD. The conditional approximate sequential dependencies may be expressed as pattern tableaux, i.e., compact representations of the subsets of the data that satisfy the underlying dependency.
    • 该规范描述了用于分析目标异常的大型数据流的数据处理。 为有序数据选择“顺序依赖”(SDs),并提供一个框架,用于发现数据的哪些子集服从给定的顺序依赖。 给定间隔G,写入X→GY的属性X和Y上的SD表示当在X上排序时任何两个连续记录的Y值之间的距离在G内。可以扩展到条件序列 依赖关系(CSDs)由基础SD加上满足SD的数据子集的表示组成。 条件近似顺序依赖性可以表示为模式表,即满足基础依赖性的数据子集的紧凑表示。