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

야외활동 의사결정을 위한 가중치 기반 기상정보 분석 알고리즘

  • 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)
  • 이무훈 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 김민규 (한국외국어대학교 차세대도시농림융합기상사업단)
  • Received : 2015.12.08
  • Accepted : 2016.03.20
  • Published : 2016.03.28

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)

Acknowledgement

Supported by : 기상청

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