Reconstructing Improper Values with Polynomial RegressionΒΆ

Non-Causal Step

This step first estimates the parameters of the polynomial model using the data. Then, the polynomial model with known parameters can reconstruct improper values at corresponding times.

Input Parameters

  1. Input data including improper values
  2. Definition of improper values (‘nan’, ‘inf’, or ‘null’, etc.)

Output Parameters

  1. Output data excluding improper values

Workflow

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Algorithm

Polynomial Regression

References

    1. Han, M. Kamber and J. Pei, Data Mining - Concepts and Techniques, 3rd ed., Amsterdam: Morgan Kaufmann Publishers, 2012.