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Event detection algorithms

机译:事件检测算法

摘要

A method for analyzing incoming data, comprising the steps of processing the incoming data in segments to output a sequence of segment types by extracting one or more properties of an incoming data segment and forming an Unknown Property Vector for each segment of data in the incoming data, and processing the sequence of segment types to identify events in the incoming data. The sequence of segment types is determined, for each segment, by reference to a set of Reference Property Vectors that are relevant to the Unknown Property Vector. This may involve application of first and/or second and/or further functions to identify at least a first subset of Reference Property Vectors that are relevant to the Unknown Property Vector. Alternatively, a logistic regression algorithm, derived using clustering or classification methods for identifying candidate vectors, may be used.
机译:一种用于分析输入数据的方法,包括以下步骤:通过提取输入数据段的一个或多个属性并对输入数据中的每个数据段形成未知属性矢量,对段中的输入数据进行处理以输出段类型序列。 ,并处理段类型的顺序以识别传入数据中的事件。通过参考与未知属性矢量相关的一组参考属性矢量,为每个片段确定片段类型的顺序。这可能涉及第一和/或第二和/或其他功能的应用,以识别与未知特性向量相关的参考特性向量的至少第一子集。可替代地,可以使用使用聚类或分类方法导出的逻辑回归算法来识别候选矢量。

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