Assessment of catastrophic risk using bayesian network constructed from domain knowledge and spatial data

Risk Analysis

Volumn 30, Issue 7, 2010, Pages 1157-1175

  Li, Lianfa ^a,b   Wang, Jinfeng ^a   Leung, Hareton ^b   Jiang, Chengsheng ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Bayesian network; domain knowledge; risk analysis; spatial data mining

Indexed keywords

BAYESIAN MODEL AVERAGING; CATASTROPHIC RISKS; CROSS VALIDATION; DATA SETS; DECISION TOOL; DOMAIN KNOWLEDGE; FLOOD DISASTER; HISTORIC DATA; LOCAL TOPOLOGY; MISSING DATA; MULTIPLE FACTORS; MULTIPLE SOURCE; NATURAL DISASTERS; PROBABILITY OF DETECTION; RISK FACTORS; RISK PROBABILITIES; ROBUST NETWORK; SEARCH STRATEGIES; SPATIAL DATA; SPATIAL DATA ANALYSIS; SPATIAL DATA MINING; TRAINING DATA SETS;

BAYESIAN NETWORKS; DATA MINING; DATA REDUCTION; DECISION MAKING; DISASTERS; DISTRIBUTED PARAMETER NETWORKS; FORECASTING; INFERENCE ENGINES; INTELLIGENT NETWORKS; RISK ANALYSIS; RISK MANAGEMENT; SAFETY FACTOR;

RISK ASSESSMENT;

BAYESIAN ANALYSIS; CATASTROPHIC EVENT; DATA MINING; DATA SET; DECISION MAKING; FLOOD; PRECISION; PREDICTION; RISK ASSESSMENT; RISK FACTOR; SPATIAL ANALYSIS; SPATIAL DATA; TOPOLOGY;

ALGORITHM; ARTICLE; BAYES THEOREM; CHINA; COMPARATIVE STUDY; DISASTER; EVALUATION; FLOODING; HUMAN; RISK; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY; EVALUATION STUDY; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; BAYES THEOREM; CHINA; DISASTERS; FLOODS; HUMANS; MODELS, STATISTICAL; RISK; RISK ASSESSMENT;

EID: 77954694245     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2010.01429.x     Document Type: Article

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