Integration of Artistic Core Literacy and Rural Aesthetic Education Driven by Data Mining

DOI

10.2991/978-2-38476-344-3_28How to use a DOI?

Keywords

Artistic Core Literacy; Data Mining; System Performance Optimization

Abstract

This paper designs and evaluates a system that integrates artistic core literacy with rural aesthetic education, utilizing data mining, machine learning, and distributed computing technologies to enhance system performance. The system’s response time and resource utilization were tested under 100 to 1000 concurrent users using a server with a 16-core CPU and 64GB of memory by simulating real-world application scenarios. The results show that the system remains stable under moderate load, maintaining a response time within 1 s. However, under high load, the response time increases to 2 s, with resource utilization exceeding 85%.

Copyright

© 2024 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  - Xinzhou Li
PY  - 2024
DA  - 2024/12/31
TI  - Integration of Artistic Core Literacy and Rural Aesthetic Education Driven by Data Mining
BT  - Proceedings of the 2024 International Conference on Humanities, Arts, Education and Social Development (HAESD 2024)
PB  - Atlantis Press
SP  - 243
EP  - 249
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-344-3_28
DO  - 10.2991/978-2-38476-344-3_28
ID  - Li2024
ER  -