Unsupervised Outlier Detection Mechanism for Tea Traceability Data
The presence of outliers in tea traceability data can mislead customers and have a significant impact on the reputation and profits of tea companies. To solve this problem, an unsupervised outlier detection mechanism for tea traceability data is proposed. Firstly, tea traceability data is uploaded t...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9878343/ |