Research for the Hotel Industry Economic Trends by Machine Learning Methodology
Myung Sook Kim · Journal of Tourism and Leisure Research · 2019
For more accurate prediction of the future condition, various methods and approaches have been continuously studied throughout the most of areas. Especially in the business field which has characteristics of monetary value and rapid change related, the future prediction becomes the regular issues for solving.BR Hotel industry is one of the main areas to estimate and predict the economic trend due to the complexity of changes relation with each country’s economic condition and relationships among the countries. But most of relevant researches for predictive modeling are depending on the some assumptions which are sometimes unstable and improper.BR This study suggests the prediction model using the updated methodology so-called machine learning which is free from the assumptions. Among the machine learning methodologies, well-known and proper technique for the trends forecasting, support vector machine is applied with several parameters and also data based solution approach is suggested with prediction error comparison