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Research on the Optimization Path of Data Mining Algorithms and Strategies for Mental Health Education in Colleges and Universities under the New Quality Productivity Framework

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Sep 29, 2025

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Wang, S. (2019). Smart data mining algorithm for intelligent education. Journal of Intelligent & Fuzzy Systems, 37(1), 9-16. WangS. (2019). Smart data mining algorithm for intelligent education. Journal of Intelligent & Fuzzy Systems, 37(1), 9-16.Search in Google Scholar

Mohammadi, M., Yazdani, S., Khanmohammadi, M. H., & Maham, K. (2020). Financial reporting fraud detection: An analysis of data mining algorithms. International Journal of Finance & Managerial Accounting, 4(16), 1-12. MohammadiM., YazdaniS., KhanmohammadiM. H. & MahamK. (2020). Financial reporting fraud detection: An analysis of data mining algorithms. International Journal of Finance & Managerial Accounting, 4(16), 1-12.Search in Google Scholar

Yahaya, L., Oye, N. D., & Garba, E. J. (2020). A comprehensive review on heart disease prediction using data mining and machine learning techniques. American Journal of Artificial Intelligence, 4(1), 20-29. YahayaL., OyeN. D. & GarbaE. J. (2020). A comprehensive review on heart disease prediction using data mining and machine learning techniques. American Journal of Artificial Intelligence, 4(1), 20-29.Search in Google Scholar

Mamatha Bai, B. G., & Rashmi, N. S. (2021). Data Mining Techniques in the Agricultural Sector. In Emerging Research in Computing, Information, Communication and Applications: ERCICA 2020, Volume 2 (pp. 87-107). Singapore: Springer Singapore. Mamatha BaiB. G. & RashmiN. S. (2021). Data Mining Techniques in the Agricultural Sector. In Emerging Research in Computing, Information, Communication and Applications: ERCICA 2020, Volume 2 (pp. 87-107). Singapore: Springer Singapore.Search in Google Scholar

Sowmya, R., & Suneetha, K. R. (2017, January). Data mining with big data. In 2017 11th International Conference on Intelligent Systems and Control (ISCO) (pp. 246-250). IEEE. SowmyaR. & SuneethaK. R. (2017, January). Data mining with big data. In 2017 11th International Conference on Intelligent Systems and Control (ISCO) (pp. 246-250). IEEE.Search in Google Scholar

Madni, H. A., Anwar, Z., & Shah, M. A. (2017, September). Data mining techniques and applications—A decade review. In 2017 23rd international conference on automation and computing (ICAC) (pp. 1-7). IEEE. MadniH. A., AnwarZ. & ShahM. A. (2017, September). Data mining techniques and applications—A decade review. In 2017 23rd international conference on automation and computing (ICAC) (pp. 1-7). IEEE.Search in Google Scholar

Gheisari, M., Hamidpour, H., Liu, Y., Saedi, P., Raza, A., Jalili, A., ... & Amin, R. (2023). Data mining techniques for web mining: a survey. In Artificial intelligence and applications (Vol. 1, No. 1, pp. 3-10). GheisariM., HamidpourH., LiuY., SaediP., RazaA., JaliliA. ... & AminR. (2023). Data mining techniques for web mining: a survey. In Artificial intelligence and applications (Vol. 1, No. 1, pp. 3-10).Search in Google Scholar

Çetin, V., & Yıldız, O. (2022). A comprehensive review on data preprocessing techniques in data analysis. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 28(2), 299-312. ÇetinV. & YıldızO. (2022). A comprehensive review on data preprocessing techniques in data analysis. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 28(2), 299-312.Search in Google Scholar

Tripathy, M., & Panda, A. (2017). A Study of Algorithm Selection in Data Mining using Meta-Learning. Journal of Engineering Science & Technology Review, 10(2). TripathyM. & PandaA. (2017). A Study of Algorithm Selection in Data Mining using Meta-Learning. Journal of Engineering Science & Technology Review, 10(2).Search in Google Scholar

Ponnuraja, C., C Lakshmanan, B., Srinivasan, V., & Prasanth B, K. (2017). Decision tree classification and model evaluation for breast cancer survivability: A data mining approach. Biomedical and Pharmacology Journal, 10(1), 281-289. PonnurajaC., C LakshmananB., SrinivasanV. & Prasanth BK. (2017). Decision tree classification and model evaluation for breast cancer survivability: A data mining approach. Biomedical and Pharmacology Journal, 10(1), 281-289.Search in Google Scholar

Porru, F., Schuring, M., Bültmann, U., Portoghese, I., Burdorf, A., & Robroek, S. J. (2022). Associations of university student life challenges with mental health and self-rated health: A longitudinal study with 6 months follow-up. Journal of Affective Disorders, 296, 250-257. PorruF., SchuringM., BültmannU., PortogheseI., BurdorfA. & RobroekS. J. (2022). Associations of university student life challenges with mental health and self-rated health: A longitudinal study with 6 months follow-up. Journal of Affective Disorders, 296, 250-257.Search in Google Scholar

Skogen, J. C., Hjetland, G. J., Bøe, T., Hella, R. T., & Knudsen, A. K. (2021). Through the looking glass of social media. Focus on self-presentation and association with mental health and quality of life. A cross-sectional survey-based study. International Journal of Environmental Research and Public Health, 18(6), 3319. SkogenJ. C., HjetlandG. J., BøeT., HellaR. T. & KnudsenA. K. (2021). Through the looking glass of social media. Focus on self-presentation and association with mental health and quality of life. A cross-sectional survey-based study. International Journal of Environmental Research and Public Health, 18(6), 3319.Search in Google Scholar

Dong, W. (2021, December). The Application and Practice of Data Mining Technology in the Integrated Teaching of Psychology and Computer. In International Conference On Signal And Information Processing, Networking And Computers (pp. 923-932). Singapore: Springer Nature Singapore. DongW. (2021, December). The Application and Practice of Data Mining Technology in the Integrated Teaching of Psychology and Computer. In International Conference On Signal And Information Processing, Networking And Computers (pp. 923-932). Singapore: Springer Nature Singapore.Search in Google Scholar

Tiantian Li, Fang Liu, Xiaobin Chen & Chao Ma. (2024). Publisher Correction: Web log mining techniques to optimize Apriori association rule algorithm in sports data information management. Scientific Reports(1), 30568-30568. LiTiantian, LiuFang, ChenXiaobin & MaChao. (2024). Publisher Correction: Web log mining techniques to optimize Apriori association rule algorithm in sports data information management. Scientific Reports(1), 30568-30568.Search in Google Scholar

Lijing Du, Fasheng Huang, Hua Lu, Sijing Chen & Qianwen Guo. (2024). An Association Rule Mining-Based Modeling Framework for Characterizing Urban Road Traffic Accidents. Sustainability(23), 10597-10597. DuLijing, HuangFasheng, LuHua, ChenSijing & GuoQianwen. (2024). An Association Rule Mining-Based Modeling Framework for Characterizing Urban Road Traffic Accidents. Sustainability(23), 10597-10597.Search in Google Scholar

Jianfeng Sun, Yang Gao, Cunyu Long & Shubei Hua. (2024). Identification of abnormal operation of electric energy metering equipment based on multi-dimensional and multi-layer association rule mining algorithm. Journal of Physics: Conference Series(1), 012012-012012. SunJianfeng, GaoYang, LongCunyu & HuaShubei. (2024). Identification of abnormal operation of electric energy metering equipment based on multi-dimensional and multi-layer association rule mining algorithm. Journal of Physics: Conference Series(1), 012012-012012.Search in Google Scholar

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