Random forests, a novel approach for discrimination of fish populations using parasites as biological tags

International Journal for Parasitology

Volumn 38, Issue 12, 2008, Pages 1425-1434

  Perdiguero Alonso, Diana ^a   Montero, Francisco E ^b   Kostadinova, Aneta ^a,c   Raga, Juan Antonio ^a   Barrett, John ^d  

^a UNIVERSITY OF VALENCIA   (Spain)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^c INSTITUTE OF BIODIVERSITY AND ECOSYSTEM RESEARCH   (Bulgaria)

^d ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Atlantic cod; Classification algorithms; Fish population discrimination; Gadus morhua; North East Atlantic; Parasite communities; Random forests

Indexed keywords

BIOLOGICAL MARKER;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOMARKER; EXPERIMENTAL STUDY; GADOID; HOST-PARASITE INTERACTION; MODEL VALIDATION; POPULATION MODELING;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATLANTIC COD; ATLANTIC OCEAN; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; INTERMETHOD COMPARISON; MIGRATION; NONHUMAN; PARASITE; POPULATION RESEARCH; RANDOM FOREST; SAMPLE SIZE; SPAWNING; VALIDATION STUDY;

ALGORITHMS; ANIMALS; ATLANTIC OCEAN; FISH DISEASES; GADUS MORHUA; HOST-PARASITE INTERACTIONS; PARASITES; POPULATION DYNAMICS;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTHEAST);

GADUS MORHUA;

EID: 51249123328     PISSN: 00207519     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpara.2008.04.007     Document Type: Article

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