| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4965493 | Computers in Industry | 2017 | 7 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yan Zhang, Zheyi Li, Jiefeng Wen, Yiwei Ma, Oh-kyoung Kwon,