Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins

Water Research

Volumn 45, Issue 3, 2011, Pages 993-1004

  Yang, Qinli ^a   Shao, Junming ^b   Scholz, Miklas ^a,c   Plant, Claudia ^d,e  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF SALFORD   (United Kingdom)

^d FLORIDA STATE UNIVERSITY   (United States)

^e TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Classification; Flood control; Information gain; Mutual information; Relief; Sustainable flood risk management

Indexed keywords

DECISION TREES; FEATURE EXTRACTION; FLOOD CONTROL; FLOODS; MAPS; NEAREST NEIGHBOR SEARCH; POLLUTION CONTROL; RISK ASSESSMENT; RISK MANAGEMENT; RIVER POLLUTION; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; DIFFUSE POLLUTION CONTROLS; FEATURE SELECTION METHODS; FLOOD RISK MANAGEMENT; INFORMATION GAIN; MUTUAL INFORMATIONS; RAPID ASSESSMENT TECHNIQUES; RELIEF;

CLASSIFICATION (OF INFORMATION);

BENCHMARKING; CLASSIFICATION; DATA SET; DISASTER RELIEF; EUROPEAN UNION; EXPERIMENTAL STUDY; FLOOD CONTROL; FLOODING; IMPOUNDMENT; POLLUTION CONTROL; RISK ASSESSMENT; RIVER BASIN; SUSTAINABILITY;

ARTICLE; BAYESIAN LEARNING; DECISION TREE; ENVIRONMENTAL ASPECTS AND RELATED PHENOMENA; FLOODING; METHODOLOGY; POLLUTION CONTROL; PRIORITY JOURNAL; RELIEF WORK; RIVER BASIN; SUPPORT VECTOR MACHINE; SUSTAINABLE FLOOD RISK MANAGEMENT; UNITED KINGDOM;

EID: 78650582647     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.watres.2010.10.006     Document Type: Article

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