Work

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions

Year: 2015

Type: article

Source: Decision Support Systems

DOI: 10.1016/j.dss.2015.04.013

Authors: Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, Tina Eliassi-Rad, Leman Akoglu, Monique Snoeck, Bart Baesens

Institutions: KU Leuven, Universidad de Talca, Rutgers, The State University of New Jersey, Stony Brook University, University of Southampton

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Stony Brook University, Defense Threat Reduction Agency, Comisión Nacional de Investigación Científica y Tecnológica, Office of Naval Research, Fondo Nacional de Desarrollo Científico y Tecnológico, Army Research Office, Lawrence Livermore National Laboratory

Awards: G1171358251, G1356433355, G3424441068, TWC: Medium: Collaborative: Know Thy Enemy: Data Mining Meets Networks for Understanding Web-Based Malware Dissemination, G5195493416, III: Small: Better Sentiment Analysis through Forecasting, G5777107276, G6095817613, G7003052433, G7237231903, G734543565, G7452299184, G8876996369

OpenAlex ID: W614715210

FWCI: 18.69

Cites: 46

Cited by: 469

Related to: 10