IMPLEMENTATION OF MACHINE LEARNING ALGORITHM FOR ANOMALOUS TRANSACTION CLASSIFICATION SYSTEM IN BANKING AGENTS
This research focuses on applying Extreme Gradient Boosting (XGBoost), Random Forest, LightGBM, and Artificial Neural Network algorithms in the domain of financial transaction classification. The objective is to develop a system capable of identifying and classifying anomalous transactions within...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/84075 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |