ABSTRACT
Smart estimation modelling of tourism tourists has become aresearch challenge due to increment of tourists today. Since existing models have many limitations, asmart estimation model of traveler quantity is proposed in this paper. First, data nodes of visitors are classified by using Bayesian decision tree (BDT). Then, an analysismodel of tourism visitors is constructed. Last, asmart estimate model of tourist traveler is constructed by the implemented differential operator according to Autoregressive Integrated Moving Average model. Experimental results show that the accuracy of the proposed model is higher than traditional models.
Acknowledgements
We want to thank Dr Cheng from Middlesex University (UK) for his kindly work in language improvement.
Disclosure statement
No potential conflict of interest was reported by the authors.