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Research on the Application of Big Data Analysis in the Homestay Industry in Kinmen

Leisure and tourism activities have become an indispensable way for people to relieve pressure nowadays, and the tourism industry has also seen the rise owing to the stable development of economy. The most obvious is the vigorous development of the homestay market. The tourists as demand for information generated, homestay owners recognize the individual a homestay owner can master the tourists as information is limited. It's easier on the human decision-making confusion. Therefore, through the application of big data analysis, it can assist the owner to make the best analysis and decision-making. This paper takes the homestay industry of Kinmen as an example to discuss how owners can collect and construct build their own big data for business and customer satisfaction, and then regularly statistical analysis, customer group analysis, internal problem improvement, marketing strategies and future development directions, etc. Next, taking association rules as example and the WEKA was used to analyze customer satisfaction. It is expected to be conducive to the improvement of the operation of the homestay industry, and to meet the needs of accommodation tourists and enhance the willingness of tourists to stay again.