Chunlian Liu This email address is being protected from spambots. You need JavaScript enabled to view it.

Guilin Tourism University, Guilin, Guangxi, 541006.


 

Received: January 23, 2021
Accepted: July 14, 2021
Publication Date: August 29, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202204_25(2).0008  


ABSTRACT


In order to build an intelligent tourism innovation ability evaluation system, this paper uses data mining technology to mine tour-ism information, combines modern people’s tourism needs to construct a regional innovation ability evaluation system, and detects the effect of data mining with the support of logistic regression analysis. Moreover, this paper uses the life cycle theory framework to analyze the life cycle stages of regional tourism destinations, analyzes the internal factors that form the characteristics and laws of specific stages, and takes timely measures to artificially control and adjust the problems that need attention. In addition, this paper constructs an evaluation system of tourism innovation capability with intelligent effects. On this basis, this paper combines experimental analysis to evaluate the system constructed in this paper, and takes Guilin regional tourism as an example to perform the analysis. The research results show that the system constructed in this paper has a certain effect, and the corresponding suggestions are given.


Keywords: Big data analysis; tourism innovation; ability evaluation; improvement strategy


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