Bayesian network classifiers for mineral potential mapping

Computers and Geosciences

Volumn 32, Issue 1, 2006, Pages 1-16

  Porwal, Alok ^a,b   Carranza, E J M ^a   Hale, M ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b Department of Mines and Geology ^*  (India)

Author keywords

Aravalli Province; Bayesian networks; Conditional dependence; GIS; Naive classifiers

Indexed keywords

ALGORITHMS; GEOGRAPHIC INFORMATION SYSTEMS; MAPPING; MINERAL EXPLORATION; PATTERN RECOGNITION; PROBABILITY; SET THEORY;

BAYESIAN NETWORKS; CONDITIONAL DEPENDENCE; INDIA; NAIVE CLASSIFIERS;

NEURAL NETWORKS;

BAYESIAN ANALYSIS; MAPPING; MINERAL EXPLORATION;

EID: 28444439536     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2005.03.018     Document Type: Article

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