Data abnormal mutation point detection algorithm based on limited accompanying group mechanism
A technology for data anomalies and detection algorithms, applied in computing, computer components, instruments, etc., can solve problems such as different computational complexity, order dependence, and large time overhead, so as to reduce computing space, improve detection efficiency, and improve accuracy Effect
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[0022] Such as figure 1 As shown, the method of the present invention mainly includes four parts of point group construction to be detected, limited jury selection, review and result output, the main task of the construction of the point group to be detected is to obtain the points to be detected in the data stream, And constitute the point group to be detected with the detected data points, which can be used as the evaluation target. The limited jury selection includes two steps: (1) setting a limited jury selection mechanism; (2) generating a limited jury based on the set limited jury selection mechanism. The limited jury is the main basis for evaluating whether the point to be detected is an abnormal mutation. The review includes two steps: (1) setting the review mechanism; the review mechanism is a limited jury review method for the point group to be tested; (2) giving an evaluation. The limited jury members evaluate whether the point group to be detected is an abnormal ...
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