Analysis of Rural Tourism Characteristics Based on Data Mining

In order to improve the level of rural tourism, it is necessary to analyze the data characteristics of rural tourism.Through sorting out the relevant data of several online tourism platforms, the grey correlation theory is used to analyze these data.This article uses the grey correlation method to analyze the weight of factors affecting rural tourism hotspots, then to deduce main factors affecting rural tourism hotspots. From the results of the analysis, it can be concluded that the main factors affecting the number of rural tourist attractions are number of star-rated attractions (C4), highway mileage (C2) good air quality rate (C5) and number of star-rated hotels (C3).Finally,Empirical results show that the analysis of the influencing factors of rural tourism hotspots is consistent with the actual situation, which proves that this method is an effective method.