infinite-dataset-hub/DBAnomalyDetectionSet

DBAnomalyDetectionSet是一个专门为异常检测和离群点识别设计的机器学习数据集。它包含从数据库日志中提取的事务描述和标签，用于指示事务是否正常或存在异常。数据集是合成的，可能包含不准确或虚假的内容。

The DBAnomalyDetectionSet is a machine learning dataset designed specifically for anomaly detection and outlier identification. It contains descriptions of transactions extracted from database logs and labels indicating whether the transactions are normal or anomalous. The dataset is synthetic and may contain inaccurate or false information.