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Intelligent travelling visitor estimation model with big data mining
Ist Teil von
Enterprise information systems, 2021-01, Vol.15 (1), p.1-14
Ort / Verlag
Taylor & Francis
Erscheinungsjahr
2021
Link zum Volltext
Quelle
EBSCOhost Business Source Ultimate
Beschreibungen/Notizen
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.