Data Mining and Visual Analysis of Attractions

BoDan Ma

Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26–28, 2023, Nanjing, China

Research Article

Data Mining and Visual Analysis of Attractions

Download252 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.26-5-2023.2337306,
    author={BoDan  Ma},
    title={Data Mining and Visual Analysis of Attractions},
    proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China},
    publisher={EAI},
    proceedings_a={ICEKIM},
    year={2023},
    month={9},
    keywords={data mining; visualization; distribution of attractions},
    doi={10.4108/eai.26-5-2023.2337306}
}

BoDan Ma
Year: 2023
Data Mining and Visual Analysis of Attractions
ICEKIM
EAI
DOI: 10.4108/eai.26-5-2023.2337306

BoDan Ma¹^,*

1: Beijing Jiaotong University

*Contact email: bdm_000509@163.com

Abstract

In this paper, the distribution of attractions and the number of attractions in each region of Beijing, Tianjin and Hebei province are counted and visualized by obtaining the names of all attractions and their detailed addresses in the Beijing Tourism Network. The analysis reveals that the distribution of attractions is not uniform and that Beijing has the highest number of attractions among the three.

Keywords: data mining; visualization; distribution of attractions

Published: 2023-09-13
Publisher: EAI

: http://dx.doi.org/10.4108/eai.26-5-2023.2337306

Data Mining and Visual Analysis of Attractions

Abstract

About EAI

Community

Publish with EAI