Proceedings of the 3rd International Seminar on Education Innovation and Economic Management (SEIEM 2018)

Construction of Entrepreneurship Education System for Logistics Management Majors Based on Big Data Mining

Authors
Duan Zheng
Corresponding Author
Duan Zheng
Available Online January 2019.
DOI
10.2991/seiem-18.2019.42How to use a DOI?
Keywords
Entrepreneurship education; Big data; Logistics management; Data mining
Abstract

Based on the theoretical analysis of entrepreneurship education for logistics management specialty, this paper uses SWOT-PEST analysis method to analyze the entrepreneurship education environment for logistics management specialty, and constructs an entrepreneurship education system for logistics management specialty based on big data. This system can not only effectively promote students' employment, but also rationally utilize existing resources and upgrade them, improve the logistics professional students' entrepreneurial success.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Seminar on Education Innovation and Economic Management (SEIEM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
978-94-6252-649-5
ISSN
2352-5398
DOI
10.2991/seiem-18.2019.42How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Duan Zheng
PY  - 2019/01
DA  - 2019/01
TI  - Construction of Entrepreneurship Education System for Logistics Management Majors Based on Big Data Mining
BT  - Proceedings of the 3rd International Seminar on Education Innovation and Economic Management (SEIEM 2018)
PB  - Atlantis Press
SP  - 164
EP  - 167
SN  - 2352-5398
UR  - https://doi.org/10.2991/seiem-18.2019.42
DO  - 10.2991/seiem-18.2019.42
ID  - Zheng2019/01
ER  -