Finding the needle: A risk-based ranking of product listings at online auction sites for non-delivery fraud prediction

Expert Systems with Applications

Volumn 40, Issue 12, 2013, Pages 4805-4811

  Almendra, V ^a  

^a UNIVERSITY OF BUCHAREST   (Romania)

Author keywords

Boosted trees; Data collection; E commerce; Fraud detection; Machine learning; Non delivery fraud; Online auction sites

Indexed keywords

ARTIFICIAL INTELLIGENCE; CRIME; ELECTRONIC COMMERCE; FORESTRY; LEARNING SYSTEMS; TREES (MATHEMATICS);

BOOSTED TREES; DATA COLLECTION; FRAUD DETECTION; NON-DELIVERY FRAUD; ONLINE AUCTION SITES;

LEARNING ALGORITHMS;

ALGORITHMS; DATA PROCESSING; FORESTRY;

EID: 84884981015     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.02.027     Document Type: Article

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