Learning from class-imbalanced data: Review of methods and applications

Expert Systems with Applications

Volumn 73, Issue , 2017, Pages 220-239

  Haixiang, Guo ^a   Yijing, Li ^a   Shang, Jennifer ^b   Mingyun, Gu ^a   Yuanyue, Huang ^a   Bing, Gong ^c  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Data mining; Imbalanced data; Machine learning; Rare events

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION MAKING; LEARNING SYSTEMS; MANAGEMENT SCIENCE;

CLASSIFICATION ALGORITHM; DATA PREPROCESSING; IMBALANCED DATA; IMBALANCED LEARNING; MACHINE LEARNING COMMUNITIES; MODEL EVALUATION; PREDICTION TASKS; RARE EVENTS;

DATA MINING;

EID: 85009165593     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2016.12.035     Document Type: Review

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