Research on outlier detection algorithm for express logistics |
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| Affiliation: | 1. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore;2. Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive West Lafayette, IN 47906, USA |
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| Abstract: | 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. |
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| Keywords: | Express logistics Multi-attribute Outlier detection |
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