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...

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Bibliographic Details
Main Authors: Honggang Yang, Shaowen Li, Lijing Tu, Rongrong Ma, Yin Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9878343/