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Research Article | Open Access |

Rural Landscape Design Data Analysis Based on Multi-Media, Multi-Dimensional Information Based on a Decision Tree Learning Algorithm

Author 1: Ning Leng Author 2: Hongxin Wang
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 8 · Published 2023

DOI: 10.14569/IJACSA.2023.01408123

Abstract

This paper analyzes and studies the design characteristics of multi-dimensional information rural scenes. For data mining and the Decision Tree (DT) calculation method, the pre-processing system and method of multi-dimensional information rural award design are put forward again. Through the analysis of the multi-dimensional value of multi-dimensional multimedia mountain villages, the form of planning and design analysis and corresponding methods are based on the analysis. Using one village as a case study, we were able to investigate the villagers, roads, services, greening, ecology, and other aspects of the village in complete detail and then implement the multi-media, multi-resource village's detailed planning and design.

Keywords

How to Cite this Article

Leng, N., & Wang, H. (2023). Rural Landscape Design Data Analysis Based on Multi-Media, Multi-Dimensional Information Based on a Decision Tree Learning Algorithm. International Journal of Advanced Computer Science and Applications, 14(8). https://doi.org/10.14569/IJACSA.2023.01408123

Leng, Ning, and Hongxin Wang. "Rural Landscape Design Data Analysis Based on Multi-Media, Multi-Dimensional Information Based on a Decision Tree Learning Algorithm." International Journal of Advanced Computer Science and Applications, vol. 14, no. 8, 2023, https://doi.org/10.14569/IJACSA.2023.01408123.

@article{Leng2023,
  title     = {Rural Landscape Design Data Analysis Based on Multi-Media, Multi-Dimensional Information Based on a Decision Tree Learning Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {8},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Ning Leng and Hongxin Wang},
  doi       = {10.14569/IJACSA.2023.01408123},
  url       = {https://doi.org/10.14569/IJACSA.2023.01408123}
}

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