Abstract: An anomaly identification data system is provided which identifies anomalies from a data pool. The system receives a queried input condition, extracts one or more standard attributes corresponding to the queried input condition from an initial data pool, and determines a standard correlation between the standard attribute and the queried input condition. The system identifies at least one missing input condition excluded from the at least one standard correlation as an anomalous attribute, and generates an anomalous data pool based on the anomalous attribute. The system further determines at least one initial anomalous correlation between the anomalous attribute included in the anomalous data pool and the at least one queried input condition.