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Download Transaction Fraud Detection Using GRU-centered Sandwich-Structured Model by ['sahki h'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Transaction Fraud Detection Using GRU-centered Sandwich-Structured Model
The document proposes a new "within-between-within" sandwich-structured sequence learning architecture for transaction fraud detection. The architecture stacks an ensemble model, a deep sequential learning model using gated recurrent units (GRU), and another top-layer ensemble classifier. Feature engineering is performed on transactions to generate additional derived features. The features are then fed into the stacked models to learn relationships within and between transactions for improved fraud detection performance.
Detailed Information
| Author: | ['sahki h'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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