Mining geophysical parameters through decision-tree analysis to determine correlation with tropical cyclone development

Computers and Geosciences

Volumn 35, Issue 2, 2009, Pages 309-316

  Li, Wenwen ^a   Yang, Chaowei ^a   Sun, Donglian ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

Data mining; Hurricane; Natural disaster; Prediction

Indexed keywords

ACCIDENTS; ATMOSPHERICS; DATA MINING; DECISION THEORY; DECISION TREES; DEFORMATION; DISASTERS; FORECASTING; GEOPHYSICS; INFORMATION MANAGEMENT; MATHEMATICAL MODELS; MOISTURE; STORMS; STRETCHING; SURFACE PROPERTIES; TROPICS; VAPORS; WATER VAPOR; WIND EFFECTS;

ATMOSPHERIC WATER VAPORS; C4.5 ALGORITHMS; DECISION RULES; GEOPHYSICAL PARAMETERS; MINING ALGORITHMS; NATURAL DISASTER; NEW APPROACHES; PREDICTION; SEA SURFACE TEMPERATURES; STRETCHING DEFORMATIONS; TROPICAL CYCLONE PREDICTIONS; TROPICAL CYCLONES; VERTICAL WIND SHEARS; WEIGHTED CORRELATIONS;

ATMOSPHERIC TEMPERATURE;

ALGORITHM; CYCLOGENESIS; DATA MINING; DECISION SUPPORT SYSTEM; FORMATION MECHANISM; GEOPHYSICAL METHOD; PARAMETERIZATION; PREDICTION; SEA SURFACE TEMPERATURE; TROPICAL CYCLONE; WATER VAPOR; WEATHER FORECASTING; WIND SHEAR;

EID: 58349106193     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2008.02.032     Document Type: Article

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