Entropy-based outlier detection using semi-supervised approach with few positive examples

Pattern Recognition Letters

Volumn 49, Issue , 2014, Pages 77-84

  Daneshpazhouh, Armin ^a   Sami, Ashkan ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Data mining; Fraud detection; Outlier detection; Semi supervised learning

Indexed keywords

CONDITION MONITORING; CRIME; ENTROPY; INTRUSION DETECTION; STATISTICS; SUPERVISED LEARNING;

FRAUD DETECTION; NEGATIVE EXAMPLES; OUTLIER DETECTION; OUTLIER DETECTION ALGORITHM; POSITIVE EXAMPLES; SEMI-SUPERVISED LEARNING; SYNTHETIC AND REAL DATA; SYNTHETIC DATASETS;

DATA MINING;

EID: 84905002847     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2014.06.012     Document Type: Article

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