Tourism Data Modeling and Mining based on Computer Information Technology

DOI

10.2991/978-94-6463-042-8_113How to use a DOI?

Keywords

Computer Information Technology; Data mining and analysis; Spatial autocorrelation; Spatial econometric model

Abstract

The wide application of computer information technology in the tourism industry has promoted the wave of tourism informatization, analyzed and excavated tourism data, explored new ways to integrate and optimize the allocation of tourism resources, and excavated wealth benefits. By building a spatial econometric model and combining the tourism data of 31 provinces and cities in China, this paper conducts an intelligent analysis of the spatial data and explores the spatial spillover effect. The results show that the tourism data of 31 provinces and cities in China has spatial relevance and the spatial spillover effect is significant.

Copyright

© 2023 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  - Yan-hong Sun
AU  - Ting-ting Shang
PY  - 2022
DA  - 2022/12/29
TI  - Tourism Data Modeling and Mining based on Computer Information Technology
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 794
EP  - 799
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_113
DO  - 10.2991/978-94-6463-042-8_113
ID  - Sun2022
ER  -