Özet:

Due to technological developments, data production is increasing. Internet use, depending on people’s interactions, social media and internet-connected devices are the factors that increase data production. In the digital world in which data is formed by accumulation, these accumulations of data are stored or flowed instantly. The processes that are done to extract potential information from these data masses are called data mining. Data mining is effectively used in all areas today. One of the areas in which data mining is used is tourism. In tourism there are many personal data about customers, consumption habits, tourist mobility according to months, time of stay and service. Data masses are processed through the "Data Mining" process and can be used for a number of basic functions such as customer profile determination, marketing strategies development, e-commerce options determination, process management, logistics management, customer satisfaction improvement, travel routes determination, service quality improvement. This study has studied the data mining work done in the tourism sector between 2015-2019. These studies have been studied according to the years, countries, the model used, the magazines they publish, the data sources and the study topics. According to the results of the study, the most article was published in 2019. In the last two years, these studies have increased. The most researched country is China. The proportion of predictive and identifying models in application studies is close to each other. The most studied topics are tourist satisfaction and satisfaction, determining tourist travel behaviors, their decisions and traveling for tourists, determining tour route and recommendations.

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