Research on the Optimization of the Curricular Framework of Marketing Major, Incorporating the Utilization of Big Data Mining Methods and Cases

DOI

10.2991/978-2-38476-430-3_8How to use a DOI?

Keywords

big data marketing; data mining; data training; supervised learning models

Abstract

The concept of “Big Data Teaching” encourages the deep integration of information technology and education, which is gradually changing the education system and building a new teaching and learning model. This paper takes the training data operation courses as an example to introduce the basic data mining technology that junior marketing undergraduates should learn, so as to better understand the collected marketing data and use it to solve practical problems. Meanwhile, we earnestly recommend that educators enhance their pedagogical skills and foster students’ awareness of autonomous learning.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zheyu Chen
PY  - 2025
DA  - 2025/06/22
TI  - Research on the Optimization of the Curricular Framework of Marketing Major, Incorporating the Utilization of Big Data Mining Methods and Cases
BT  - Proceedings of the  2025 3rd International Conference on Language, Innovative Education and Cultural Communication (CLEC 2025)
PB  - Atlantis Press
SP  - 51
EP  - 57
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-430-3_8
DO  - 10.2991/978-2-38476-430-3_8
ID  - Chen2025
ER  -