Data Mining and Statistical Measurement of High Quality Development of Rural Tourism in Jiangsu Province

This paper uses data mining and statistical analysis to mine and study the high-quality development data of rural tourism in Jiangsu Province, and studies the high-quality development level of rural tourism in 13 districts and cities in Jiangsu Province. Firstly, the relevant indicators for measuring the high-quality development of rural tourism in Jiangsu Province are determined, and the data are obtained through the network big data technology. Secondly, rough set and other methods are used to delete the indicators with high redundancy, such as the number of patent authorizations, the gross domestic product of the tertiary industry/region and so on, to obtain the final index system. Finally, the dynamic comprehensive evaluation method uses data mining and statistical measurement to get the comprehensive ranking of 13 cities divided into districts. The evaluation results show that Suzhou, Wuxi and Nanjing rank the top three, while Suqian, Zhenjiang and Xuzhou rank lower. In the future, these regions with lower ranking should take corresponding measures to promote higher quality development of rural tourism.