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传感器监控、安全运营、欺诈检测——这些场景都需要及时发现异常状况。但是问题在于，异常样本出现频率低导致标注数据稀缺，监督学习模型难以构建。虽然异常(anomaly)和新颖性(novelty)这两个概念经常混用，但它们在建模假设和处理流程上存在本质差异。