Visual Image Empowerment Based on ARIMA and Decision Tree Algorithm for Big Data Visualization Analysis of Chinese Game Market Users
Image data visualization plays a crucial role in computer algorithm analysis and research. It can intuitively display the running process, performance, and result characteristics of algorithms, helping researchers quickly identify the advantages and disadvantages of algorithms, optimize algorithm design, accelerate algorithm analysis process, and improve research efficiency and quality. This article uses ARIMA algorithm and decision tree algorithm to analyze the user group of the Chinese gaming market in recent years, and uses MATLAB software to visualize the analysis results for better display.
Authors
- Yuhang Qi (ORCID: https://orcid.org/0009-0007-3301-7406)
- Lidong Liu (ORCID: https://orcid.org/0000-0001-8142-2261)
- Miao Wang
Institutions
- Songshan Lake Materials Laboratory (CN)
Publication Details
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1109/isbdas64762.2025.11116883
- Primary Topic
- AI and Big Data Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00