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Research on outlier detection algorithm for express logistics
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DOI：10.1016/j.compind.2017.05.003.png)
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摘要
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To detect the problems of time delay, path error and destination error in express logistics process effectively, a novel outlier detection algorithm for express logistics is proposed in this paper. To test the detection results, the express logistics system operating model is built to test the detection results. Experiment results show that the proposed algorithm is well applied to the express logistics data with multi-attribute characteristics, and can work well in detecting the abnormal conditions of express logistics. (C) 2017 Published by Elsevier B.V.
Keyword:
Express logistics
Multi-attribute
Outlier detection
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