Anomaly Detection
● Type anomaly is a form of dirty data where data values that are assigned
incorrect types.
Example: “Beethoven’s 9th Symphony” being classified as Artist.
● We can utilize the neural network to detect likely candidates of such dirty
data.
● Using substring reasoning, we can also generate visual explanation of the
abnormalities of the identified data values.