Research on outlier detection algorithm for express logistics

Yan Zhang; Zheyi Li; Jiefeng Wen; Yiwei Ma; Oh kyoung Kwon

doi:10.1016/j.compind.2017.05.003

Research on outlier detection algorithm for express logistics

Yan Zhang, Zheyi Li, Jiefeng Wen, Yiwei Ma, Oh kyoung Kwon

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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.

Original language	English
Pages (from-to)	43-49
Number of pages	7
Journal	Computers in Industry
Volume	92-93
DOIs	https://doi.org/10.1016/j.compind.2017.05.003
State	Published - Nov 2017

Bibliographical note

Publisher Copyright:
© 2017

Keywords

Express logistics
Multi-attribute
Outlier detection

Access to Document

10.1016/j.compind.2017.05.003

Cite this

@article{e603828e63ed44a5965d8be8f9eda8a3,

title = "Research on outlier detection algorithm for express logistics",

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 = "Express logistics, Multi-attribute, Outlier detection",

author = "Yan Zhang and Zheyi Li and Jiefeng Wen and Yiwei Ma and Kwon, {Oh kyoung}",

note = "Publisher Copyright: {\textcopyright} 2017",

year = "2017",

month = nov,

doi = "10.1016/j.compind.2017.05.003",

language = "English",

volume = "92-93",

pages = "43--49",

journal = "Computers in Industry",

issn = "0166-3615",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Research on outlier detection algorithm for express logistics

AU - Zhang, Yan

AU - Li, Zheyi

AU - Wen, Jiefeng

AU - Ma, Yiwei

AU - Kwon, Oh kyoung

PY - 2017/11

Y1 - 2017/11

N2 - 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.

AB - 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.

KW - Express logistics

KW - Multi-attribute

KW - Outlier detection

UR - http://www.scopus.com/inward/record.url?scp=85021129173&partnerID=8YFLogxK

U2 - 10.1016/j.compind.2017.05.003

DO - 10.1016/j.compind.2017.05.003

M3 - Article

AN - SCOPUS:85021129173

SN - 0166-3615

VL - 92-93

SP - 43

EP - 49

JO - Computers in Industry

JF - Computers in Industry

ER -

Research on outlier detection algorithm for express logistics

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this