Data based segmentation and summarization for sensor data in semiconductor manufacturing
Data were classified to discrete-valued or continuous-valued groups. Discrete-valued data were segmented with abnormal difference. Continuous-valued data were segmented with free knot spline with knot removal. Segmentation and summarization were performed based on linearity and parsimony. Segmentation had 38.54% error decrease compared to the conventional method.
segmentation summarization sensor data semiconductors free knot spline with knot removal time series sensor segmentation