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In cases like credit card fraud detection, where fraud labels are very scarce and there is a large amount of unlabeled data, I want to leverage the existing labels to detect unknown anomalies. Which approach is recommended?
①Supervised learning
②Unsupervised learning
③Natural language processing
④Reinforcement learning
⑤Semi-supervised learning