Hierarchical classifier-regression ensemble for multi-phase non-linear dynamic system response prediction: Application to climate analysis

Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012

Volumn , Issue , 2012, Pages 781-788

  Gonzalez II, Doel L ^a   Chen, Zhengzhang ^a,b   Tetteh, Isaac K ^a   Pansombut, Tatdow ^a,b   Semazzi, Fredrick ^a   Kumarz, Vipin ^c   Melechko, Anatoli ^a   Samatova, Nagiza F ^a,b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE ANALYSIS; CLIMATE SYSTEM; HURRICANE ACTIVITY; HYBRID APPROACH; LEAST ABSOLUTE DEVIATIONS; LINEAR REGRESSION TECHNIQUES; LIQUID-VAPOR PHASE TRANSITIONS; MULTI PHASE SYSTEMS; NON-LINEAR DYNAMIC SYSTEMS; NONLINEAR BEHAVIOR; PHYSICAL SYSTEMS; PRECIPITABLE WATER; QUANTITATIVE KNOWLEDGE; REGRESSION MODEL; SIMULATED SYSTEM; SPATIO-TEMPORAL DATA; STEPWISE REGRESSION;

HURRICANES; LINEAR CONTROL SYSTEMS; REGRESSION ANALYSIS;

DATA MINING;

EID: 84873188038     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2012.133     Document Type: Conference Paper

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