Study on tourism crisis alarming model based on data mining
Zhenhui Dong, Fang Liu
COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5С) 57-61
Gansu industry Polytechnic College Gansu tianshui 741025, China
The article systematically analyzed the actuality and modality of Chinese listed corporations' tourism crisis, and discussed the reason of this problem appeared and the method how to resolve. The necessities of establish forewarning model in forecasting and avoiding tourism crisis were clarified; Tourism crisis forewarning models in existence were reviewed; several forewarning models using Enterprise Miner module in SAS were established. Compared with the existing models, such as discriminate analysis models, Logistic models and Neural Network models, the models in this article possessed many advantages and could be used more perfectly on forewarning purpose.