Practical Research on Improving Education Targeting based on Big Data Mining

DOI

10.2991/erss-18.2019.143How to use a DOI?

Keywords

Big data; Data mining; the ideological education; Employment guidance; Targeting

Abstract

Promoting the traditional advantages of education, employment guidance and other work in colleges and universities and highly integrating information technology are required for the development of education, and the scientific application of education big data is indispensable for the realization of "individualized teaching". On the basis of demand analysis and data mining technology, practical exploration on improving education's targeting is carried out. Hidden rules are found in education big data. The significance of each stage is interpreted and analyzed from the application of data mining algorithm and the visualization stage of results. Taking the typical association rule mining and classification decision tree method as an example, this paper proposes an effective way to use the advantages of big data technology analysis to improve the education targeting of ideology and politics

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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TY  - CONF
AU  - Mingju Zhao
AU  - Wanyi Zhao
PY  - 2019/01
DA  - 2019/01
TI  - Practical Research on Improving Education Targeting based on Big Data Mining
BT  - Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
PB  - Atlantis Press
SP  - 729
EP  - 733
SN  - 2352-5398
UR  - https://doi.org/10.2991/erss-18.2019.143
DO  - 10.2991/erss-18.2019.143
ID  - Zhao2019/01
ER  -