Proceedings of the 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)

Exploration of Data Mining Courses for Non-Computer Majors

Authors
Li Chunmei, Liu Zhiqiang, Wang Yuming, Wang Lu
Corresponding Author
Li Chunmei
Available Online December 2017.
DOI
10.2991/icsehr-17.2017.29How to use a DOI?
Keywords
Big Data; Non-Computer Major; Data Mining Course
Abstract

This paper analysis the necessity of setting up the courses -data mining engineering for Non-computer majors from aspects such as the field of big data, formats, channels, media industry competition, comprehensive talents training, cross disciplinary under the era of big data. Introduces investigation effect of the course of data mining for non-computer majors in our university. Pointed out that it is the demand of the times to cultivate comprehensive talents with scientific analysis ability in the era of big data

Copyright
© 2017, 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 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2017
ISBN
978-94-6252-424-8
ISSN
2352-5398
DOI
10.2991/icsehr-17.2017.29How to use a DOI?
Copyright
© 2017, 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  - Li Chunmei
AU  - Liu Zhiqiang
AU  - Wang Yuming
AU  - Wang Lu
PY  - 2017/12
DA  - 2017/12
TI  - Exploration of Data Mining Courses for Non-Computer Majors
BT  - Proceedings of the 2017 International Conference on Social science, Education and Humanities Research (ICSEHR 2017)
PB  - Atlantis Press
SP  - 117
EP  - 119
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsehr-17.2017.29
DO  - 10.2991/icsehr-17.2017.29
ID  - Chunmei2017/12
ER  -