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

Data publikacji: 30 paź 2023

Otrzymano: 10 gru 2022

Przyjęty: 10 maj 2023

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

Słowa kluczowe

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.