Feature extraction in control chart patterns with missing data

Data preprocessing and feature extraction are critical steps in control chart pattern (CCP) recognition for reducing dimensionality and irrelevant information. To ensure good quality of input representation, it is important to handle missing values on control charts before feature extraction. Exclud...

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Bibliographic Details
Main Authors: Haghighati, R., Hassan, A.
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Online Access:http://eprints.utm.my/id/eprint/89666/1/RHaghighati2019_FeatureExtractioninControlChartPatterns.pdf
http://eprints.utm.my/id/eprint/89666/
http://dx.doi.org/10.1088/1742-6596/1150/1/012013
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