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Implement Polynomial approximation [1] which learns a polynomial model to estimate the data based on the past observations, in which anomalies are detected by measuring the deviation from this model.
[1] hi Li, Hong Ma, and Yongbing Mei. 2007. A unifying method for outlier and change detection from data streams based on local polynomial fitting. In Advances in Knowledge Discovery and Data Mining: 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007. Proceedings 11. Springer, Springer Berlin Heidelberg, Berlin, Heidelberg, 150–161.
The text was updated successfully, but these errors were encountered:
Implement Polynomial approximation [1] which learns a polynomial model to estimate the data based on the past observations, in which anomalies are detected by measuring the deviation from this model.
[1] hi Li, Hong Ma, and Yongbing Mei. 2007. A unifying method for outlier and change detection from data streams based on local polynomial fitting. In Advances in Knowledge Discovery and Data Mining: 11th Pacific-Asia Conference, PAKDD 2007, Nanjing, China, May 22-25, 2007. Proceedings 11. Springer, Springer Berlin Heidelberg, Berlin, Heidelberg, 150–161.
The text was updated successfully, but these errors were encountered: