Research on Students’ Consumption Behavior Patterns-Reference-Cited by-同舟云学术

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Research on Students’ Consumption Behavior Patterns

Published:2022 Issue: Volume: Page:44-58
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Xu FangYao,Qu Shaojie,Li ZhiQiang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-98012-2_5

Reference25 articles.

1. Aditya, M.A., Helen, A., Suryana, I.: Naive Bayes and maximum entropy comparison for translated novel’s genre classification, UK, vol. 1722, p. 012007, 9 pp. (2021)

2. Agaoglu, M.: Predicting instructor performance using data mining techniques in higher education. IEEE Access 4, 2379–2387 (2016)

3. Auksorncherdchoo, S.: Software development for student behavior tracking system, San Diego, CA, United States, pp. 55–59 (2018)

4. Bonde, S.N., Kirange, D.K.: Educational data mining survey for predicting student’s academic performance. In: Pandian, A., Senjyu, T., Islam, S., Wang, H. (eds.) ICCBI 2018. LNDECT, vol. 31, pp. 293–302. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-24643-3_35

5. Chang, C.-C., Hung, Y.-Y., Wang, Y.-C.: Partial least squares structural equation modeling in online shopping: the moderator effect between impulsive buying tendency and behavior. WSEAS Trans. Bus. Econ. 17, 542–550 (2020)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Students' Behavior Towards their Degree using Machine Learning Techniques;2022 3rd International Conference on Innovations in Computer Science & Software Engineering (ICONICS);2022-12-14

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