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규칙기반 초미세먼지 상태 추론

Title
규칙기반 초미세먼지 상태 추론
Translated Title
Particulate Matter (PM2.5) State Inference by Rule Induction
Authors
최락현강원석손창식
DGIST Authors
최락현; 강원석; 손창식
Issue Date
2018-08
Citation
대한임베디드공학회논문지, 13(4), 179-185
Type
Article
ISSN
1975-5066
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%.
URI
http://hdl.handle.net/20.500.11750/9293
DOI
10.14372/IEMEK.2018.13.4.179
Publisher
대한임베디드공학회
Related Researcher
  • Author Kang, Won-Seok  
  • Research Interests Data Mining & Machine Learning for Text & Multimedia, Brain-Sense-ICTConvergence Computing, Computational Olfaction Measurement, Simulation&Modeling
Files:
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Collection:
Division of Intelligent Robot1. Journal Articles


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