연구동향 분석

ARIMA모델에 기반한 화재발생 빈도 예측모델의 설계

안상훈(Sanghun Ahn) 강훈(Hoon Kang) 조재훈(Jae-Hoon Cho) 김태옥(Tae-Ok Kim) 신동일(Dong-Il Shin) 2015년

논문상세정보
인용/피인용
' ARIMA모델에 기반한 화재발생 빈도 예측모델의 설계' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 초, 유지, 석유, 가스공학
  • arima model
  • autocorrelation
  • fireoccurrencepattern
  • time series
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
240 0

0.0%

' ARIMA모델에 기반한 화재발생 빈도 예측모델의 설계' 의 참고문헌

  • Time Series Analysis
    Box, George E. P. Wiley [2008]
  • Spatial and Temporal Patterns of Forest Fire Activity in Canada
    Justin, J. P. University of Toronto [2001]
  • Robustness Comparison of Exponentially Weighted Moving- Average Charts on Autocorrelated Data and on Residuals
    Apley, D. W. Journal of Quality Technology 40 (4) : 428 ~ 447 [2008]
  • Reliability-Based Design Optimization Using Akaike Information Criterion for Discrete Information
    Lim, W. C. Transactions of the Korean Society of Mechanical Engineers A 36 (8) : 921 ~ 927 [2012]
  • Predicting the Risk of Fire Occur-rence according to the Weather Information using Statistics and Data Mining Techniques
    Song, D. W. Seoul National University of Science and Technology [2014]
  • National Fire Incident Reporting System
  • Forecasting Functions for Time Series and Linear Models
  • Fault Detection and Diagnosis in Chemical and Petrochemical Processes
    Himmelblau, D. M. Elsevier : 127 ~ 116 [1978]
  • Data mining
    Witten, I. A. Elsevier : 148 ~ [2011]
  • Automatic Time Series Forecasting: The forecast package for R
    Hyndman, R. J. Journal of Statistical Software 27 (3) : 1 ~ 22 [2008]
  • A Study on a Real-time Detection and Monitoring System for Abnormal Fire Occurrences Based on Big Data Mining
    Joo, K. D. Myongji University [2012]