Machine Learning Technique for Clustering the Tourism Activities in Rural Area – A Case Study of Baan Patan, Chiang Rai

Abstract

This article focuses on using the association rules technique, which is one of the machine learning techniques. The knowledge gained from this study can be used to build a relationship of tourism activities in order to be a model of tourism activities in Baan Pa Tan Subdistrict Community, as it is during the Covid-19 pandemic. It comes from interviews with people in the community who would like to suggest what activities tourists can do in their own community. The association rule analysis tool is RapidMiner. The results of the study show that the most highly recommended community activity is pay homage and cycling. Other recommended activities include rafting, rice planting, stone spa. The results of the study can be used to create awareness among people in the community to plan and prepare to accommodate tourists during the post-COVID-19 pandemic. The activities can be divided into three groups according to the interests of tourists; 1) the cattle lifestyle activity group, 2) the health therapy activity group, and 3) the pay homage activity group