Mining citizen science data to predict prevalence of wild bird species

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn 2006, Issue , 2006, Pages 909-915

  Caruana, Rich ^a   Elhawary, Mohamed ^a   Munson, Art ^a   Riedewald, Mirek ^a   Sorokina, Daria ^a   Fink, Daniel ^b   Hochachka, Wesley M ^b   Kelling, Steve ^b  

^a Department of Obstetrics Gynecology   (United States)

^b Fuller Evolutionary Biology Program   (United States)

Author keywords

Attribute importance; Bagging; Decision trees; Model inspection; Partial dependence function; Sensitivity analysis

Indexed keywords

DECISION TREES; MODEL INSPECTIONS; PARTIAL DEPENDENCE FUNCTIONS;

ACOUSTIC NOISE; BIODIVERSITY; DATA REDUCTION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; SENSITIVITY ANALYSIS; TREES (MATHEMATICS);

DATA MINING;

EID: 33749557230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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