Data Mining and Coupling Model of Coordinated Development Between Poverty Alleviation Effect and Residents’ Participation in Minority Areas

DOI

10.2991/assehr.k.201023.091How to use a DOI?

Keywords

Minority tourism poverty alleviation, Residents’ participation, Coupling model, Data mining

Abstract

How to improve the effect of poverty alleviation through tourism is an important task faced by minority areas. There is a coupling phenomenon between residents’ participation in tourism and the effect of tourism poverty alleviation. Data mining is a decision support process that reveals hidden, unknown and potentially valuable information from large amounts of data. In this study, data mining method and coupling theory are used to analyze the effect of tourism poverty alleviation and the relationship between residents’ accidents and accidents in the Southwest Hunan minority areas, and to analyze the data from the behavior survey, to find out the coupling model of the impact of tourism poverty alleviation and residents’ tourism behavior, and to conclude and reason. Finally, some Suggestions and measures are put forward to strengthen the coupling behavior between poverty alleviation of ethnic tourism and residents’ participation.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yi Yuanpeng
AU  - Chen Danhong
AU  - Meng Yu
AU  - Sun Hewei
PY  - 2020
DA  - 2020/11/06
TI  - Data Mining and Coupling Model of Coordinated Development Between Poverty Alleviation Effect and Residents’ Participation in Minority Areas
BT  - Proceedings of the 2020 5th International Conference on Modern Management and Education Technology (MMET 2020)
PB  - Atlantis Press
SP  - 462
EP  - 467
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201023.091
DO  - 10.2991/assehr.k.201023.091
ID  - Yuanpeng2020
ER  -