DATA PROCESSING METHOD OF DETECTING AND RECOVERING MISSING VALUES, OUTLIERS AND PATTERNS IN TENSOR STREAM DATA

    公开(公告)号:US20220374498A1

    公开(公告)日:2022-11-24

    申请号:US17672060

    申请日:2022-02-15

    Abstract: A tensor data processing method is provided. The method comprises receiving an input tensor including at least one of an outlier and a missing value, the input tensor being input during a time interval between a first time point and a second time point, factorizing the input tensor into a low rank tensor to extract a temporal factor matrix, calculating trend and periodic pattern from the extracted temporal factor matrix, detecting the outlier which is out of the calculated trend and periodic pattern, updating the temporal factor matrix except the detected outlier, combining the updated temporal factor matrix and a non-temporal factor matrix of the input tensor to calculate the real tensor and recovering the input tensor by setting data corresponding to a position of the outlier or a position of the missing value of the input tensor from the data of the real tensor as an estimated value.

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