Disclosing climate change patterns using an adaptive markov chain pattern detection method

• Main Authors: WANG, Zhaoxia, LEE, Gary, CHAN, Hoong Maeng, LI, Reuben, FU, Xiuju, GOH, Rick, POH KIM, Pauline A. W., HIBBERD, Martin L., CHIN, Hoong Chor
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Meteorological data; Pattern detection; Weather patterns of Singapore; Climate change; Data mining; Incremental Markov chain model; Artificial Intelligence and Robotics; Environmental Sciences; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5564; https://ink.library.smu.edu.sg/context/sis_research/article/6567/viewcontent/2013_Disclosing_climate_change_patterns_av.pdf
• Institution: Singapore Management University

This paper proposes an adaptive Markov chain pattern detection (AMCPD) method for disclosing the climate change patterns of Singapore through meteorological data mining. Meteorological variables, including daily mean temperature, mean dew point temperature, mean visibility, mean wind speed, maximum...