Proper

Abstract

For the last decade, the Republic of Korea (ROK) have been offering advanced medical tourism especially in the fields of plastic surgery and other areas where precision techniques are required. While such a tourism has been successful in attracting a lot of tourists seeking a better medical service from all over the world, the report published by the World Economic Forum showed that the competitiveness of the ROK‘s tourism including medical tourism program is weakening. For this reason, this research focuses on understanding the actual condition of Korean tourism by investigating those foreigners who had participated the tour programs to establish a new strategy. For the research, a big data analysis using R-stuido was performed and machine-learning process was adopted for the analysis. With this method, it was possible to find some regularities that had contributed to visiting tourists’ negative impression of Korea, and accordingly, adequate solutions were presented. The big data analysis had revealed that visitors’ purpose of taking the a tour in the ROK and their experience of inconveniences during the tour were different depending on their age groups. Also, this paper produced an Android application that has Machine Learning function for visualizing big data result. The big data collected in the application helps customers to find kind hospitals by using the algorithm explained in this paper.