Financial Fraud Detection Through Artificial Intelligence
The present work shows the analysis and modeling of a database with information about the various credit card transactions. The objective is to detect transactions that are fraudulent. In the modeling process, the �Ridge and Lasso�, �Boosting� and �Random Forest� techniques were applied...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2020
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083433574&doi=10.1007%2f978-3-030-36178-5_6&partnerID=40&md5=1a839fe927d474f01394f11cc4836835 http://eprints.utp.edu.my/24808/ |
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