규칙기반 초미세먼지 상태 추론
Particulate Matter (PM2.5) State Inference by Rule Induction
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Particulate Matter (PM2.5) has various adverse effects on health. Climate and industry activity and traffic volume are the main causes, especially in urban area. In order to construct an effective forecasting system, many measurement systems are required, but it is impossible in reality. Therefore, in this study, we propose a method to infer PM2.5 condition by using rule induction technique. The experimental results showed a classification accuracy of 71%.
Abstract
Particulate Matter (PM2.5) has various adverse effects on health. Climate and industry activity and traffic volume are the main causes, especially in urban area. In order to construct an effective forecasting system, many measurement systems are required, but it is impossible in reality. Therefore, in this study, we propose a method to infer PM2.5 condition by using rule induction technique. The experimental results showed a classification accuracy of 71%.
참고문헌 (13)
- 이종현, "공간패널모형을 이용한 국내 초미세먼지 농도에 대한 분석", 한국데이터정보과학회지, 28(3), pp.473~481 (2017), 한국데이터정보과학회[DOI]
- 추교황, "PM2.5농도 산출을 위한 경험적 다중선형 모델 분석", 한국지구과학회지, 38(4), pp.283~292 (2017), 한국지구과학회
- 김영성, "PM2.5 예보를 위한 모델 성능평가와 편차보정 효과 분석", 한국대기환경학회지, 33(1), pp.11~18 (2017), 한국대기환경학회[DOI]
- 박종길, "서울시 미세먼지 농도의 지역적 특성파악을 위한 연구 - 구별 분포 특성 및 차량등록대수와의 관계 -", 한국환경과학회지, 26(1), pp.55~65 (2017), 한국환경과학회[DOI]
- D.J. Jacob, "Effect of Climate Change on air Quality", Journal of Atmospheric Environment, 43(1), pp.51~63 (2009)[DOI]
- 노병국, "사물인터넷 기반 초미세먼지(PM2.5) 측정 장치 개발", 한국안전학회지, 32(1), pp.21~26 (2017), 한국안전학회
- "Korea Meteorological Administration"[URL]
- "Airkorea"[URL]
- M. Kurtcephe, "A Discretization Method Based on Maximizing the Area Under ROC Curve", Journal of Pattern Recognition and Artificial Intelligence, 27(1) (2013)
- U. Fayyad, "Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning" (1993)
- R. Kerber, "ChiMerge: Discretization of Numeric Attributes", Proceedings of the Tenth National Conference on Artificial Intelligence, pp.123~128 (1992)
- J.W. Grzymala-Busse, "Data Mining and Knowledge Discovery Handbook", pp.277~294 (2005), Springer
- J.W. Grzymala-Busse, "Data Mining and Knowledge Discovery Handbook", pp.33~51 (2009), Springer