Application of Data Mining Algorithm in Tourism Economy Development Under the Normalization of Epidemic

The role of data mining algorithms in developing the tourism economy is significant, but there is the problem of inaccurate economic forecasting. The historical economic analysis method cannot solve the problem of randomness in the tourism economy, and there are few indicators for tourism economic analysis. Therefore, this paper proposes a data mining algorithm method to construct a tourism economic development model. First of all, under the normalization of the epidemic, the crawler method to classify the data and carry out according to the stage of economic development. Collective division of economic data to reduce the influence of random factors. Then, the crawler method divides the tourism economic development score into grades, forms an economic data collection, and continuously analyzes the economic data. MATLAB simulation shows that under the normalization of the epidemic, the accuracy and analysis time of the data mining algorithm method are better than the historical economic analysis method.