Journal of Data Mining in Genomics & Proteomics

The effects of Google trends on tourism industry in South Korea

2^nd International Conference on Big Data Analysis and Data Mining

November 30-December 01, 2015 San Antonio, USA

David Sung and Sang-Hyun Park

Kyung Hee University School of Management Graduate School, South Korea

Posters-Accepted Abstracts: J Data Mining In Genomics & Proteomics

Abstract:

This study deals with the effects of an online search engine on the level of tourism through analyzing any change in the amount of searched information. The paper has the purpose to improve the forecast of tourism industry into South Korea by utilizing of Google Trends data which provide the data is provided in a relative query and time series format of data. This particular work attempts to analyze Google Trends based on with 3 specific keywords, �??hotels, flights and tour�?� that are searched by potential tourists around the world from the world to South Korea. We conduct this study through a series of multiple regression models with one- month time-lag in order to forecast for easily forecasting performance. Accordingly, the findings suggest that Google Trends can be a good source of estimating tourism industry. Therefore, the business strategy makers in tourism industry related of South Korea can easily utilize of the Google Trends data for their future decisions.

Biography :

David Sung is a graduate student in the Master Program for Information Management at Kyung Hee University, Seoul, Korea. He has a BA in Economics and Applied Mathematics from Konkuk University. Also, Sang-Hyun Park is a graduate student in the Master Program for Information Management at Kyung Hee University, Seoul, Korea. And, he has a BA in the Department of Applied Organic Materials Engineering from Inha University.

Email: davidsung88@naver.com