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Bank Fraud Detection Using Support Vector Machine · Peerford

conference paper · 2018

Bank Fraud Detection Using Support Vector Machine

Nana Kwame Gyamfi, Jamal‐Deen Abdulai

Closed access

Go to the publisher 10.1109/iemcon.2018.8614994

Citations: 90from other works
Field-weighted impact: 1.471.00 is the world average for its field and year
Among its field: 88th percentileby citations, against works of its field and year
Authors: 2from 2 institutions

Authors

2 authors across 2 institutions in 1 country

Nana Kwame GyamfiFirst author
- Kumasi Technical University (GH)
Jamal‐Deen AbdulaiSenior author
- University of Ghana (GH)
as printed: Jamal-Deen Abdulai

Development goals

16Peace, justice and strong institutions

Country

Ghana

Fields

A work can sit in several, each with a score

Anomaly Detection Techniques and ApplicationsTopic

Imbalanced Data Classification TechniquesTopic

Network Security and Intrusion DetectionTopic