Exploring the innovation path of daily management mode of college students in the new era based on big data technology

Pubblicato online: 30 ott 2023

Ricevuto: 10 dic 2022

Accettato: 10 mag 2023

DOI: https://doi.org/10.2478/amns.2023.2.00865

Parole chiave

Big data technology, Cluster partitioning, Association analysis, Newton interpolation, Daily student management

© 2023 Lin Zhu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.