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Abnormal object in the data stream automatic the online detection and class method and the device in order to classify
Abnormal object in the data stream automatic the online detection and class method and the device in order to classify
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机译:数据流中的异常对象自动在线检测和分类方法及装置以进行分类
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摘要
The invention is concerned with a method for automatic online detection and classification of anomalous objects in a data stream, especially comprising datasets and/or signals, wherein a) the detection of at least one incoming data stream containing normal and anomalous objects, b) automatic construction of a geometric representation of normality the incoming objects of the data stream at a time tSUB1 /SUBsubject to at least one predefined optimality condition, especially the construction of a hypersurface enclosing a finite number of normal objects, c) online adaptation of the geometric representation of normality in respect to received at least one received object at a time tSUB2/SUB, which is greater than tSUB1/SUB, the adaptation being subject to at least one predefined optimality condition, d) online determination of a normality classification for received objects at tSUB2 /SUBin respect to the geometric representation of normality, e) automatic classification of normal objects and anomalous objects based on the generated normality classification and generating a data set describing the anomalous data for further processing, especially a visual representation.
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