Using relational decision trees to model out-crossing rates in a multi-field setting

Ecological Modelling

Volumn 245, Issue , 2012, Pages 75-83

  Debeljak, Marko ^a   Trajanov, Aneta ^a   Stojanova, Daniela ^a   Leprince, Florence ^b   Džeroski, SaŠo ^a,c  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b ARVALIS Inst Vegetal   (France)

^c Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins   (Slovenia)

Author keywords

Coexistence; Genetically modified maize; Multi field effects; Relational classification trees; Relational data mining

Indexed keywords

CLASSIFICATION TREES; COEXISTENCE; GENETICALLY MODIFIED MAIZE; MULTI-FIELD; RELATIONAL DATA MINING;

CROPS; DECISION TREES; FORESTRY; GENETICALLY MODIFIED PLANTS; TREES (MATHEMATICS);

DATA MINING;

AGRICULTURAL MANAGEMENT; AGRICULTURAL PRACTICE; ALGORITHM; COEXISTENCE; CULTIVATION; DATA MINING; EUROPEAN UNION; FIELD SURVEY; GENE FLOW; GENETICALLY MODIFIED ORGANISM; MAIZE;

ALGORITHMS; CORN; CULTIVATION; DATA PROCESSING; DECISION MAKING; FORESTRY; MATHEMATICAL MODELS;

CATALONIA; SPAIN;

HEXAPODA; ZEA MAYS;

EID: 84866008011     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2012.04.015     Document Type: Article

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