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http://dx.doi.org/10.14400/JDC.2016.14.3.209

Meteorological Information Analysis Algorithm based on Weight for Outdoor Activity Decision-Making  

Lee, Moo-Hun (Weather Information Service Engine Institute, Hankuk University of Foreign Studies)
Kim, Min-Gyu (Weather Information Service Engine Institute, Hankuk University of Foreign Studies)
Publication Information
Journal of Digital Convergence / v.14, no.3, 2016 , pp. 209-217 More about this Journal
Abstract
Recently, the outdoor activities were increased in accordance with economic growth and improved quality of life. In addition, weather and outdoor activities are closely related. Currently, Outdoor Activities decisions are determined by the Korea Meteorological Administrator's forecasts and subjective experience. Therefore, we need the analysis method that can provide a basis for the decision on outdoor activities based on meteorological information. In this paper, we propose an algorithm that can analyze meteorological information to support decision-making outdoor activities. And the algorithm is based on the data mining. In addition, we have constructed a baseball game schedule with automatic weather system's observation data in the training data. We verified the improved performance of the proposed algorithm.
Keywords
Meteorological Information; Data Mining; Classification Algorithm; Decision Support System; AWS(Automatic Weather System);
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Times Cited By KSCI : 4  (Citation Analysis)
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