Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning

Lecture Notes in Computer Science

Volumn 3644, Issue PART I, 2005, Pages 878-887

  Han, Hui ^a   Wang, Wen Yuan ^a   Mao, Bing Huan ^b  

^a TSINGHUA UNIVERSITY   (China)

^b CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; EVALUATION; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; METRIC SYSTEM; PROBLEM SOLVING; SAMPLING; INTELLIGENT COMPUTING; RADAR; SODIUM AZIDE;

DATA SETS; EVALUATION METRICS; IMBALANCE PROBLEMS; SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE (SMOTE); BROAD APPLICATION; COVARIANCE; IMBALANCE PROBLEM; IMBALANCED DATA-SETS; OVER SAMPLING; SMITE; SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUES;

DATA MINING;

EID: 27144501672     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538059_91     Document Type: Conference Paper

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