55. A system for outputting data based on anomaly detection, comprising: a digital processing device that: receives an input dataset; generates n-grams of different sizes from the input dataset; counts the number of distinct n-grams in the n-grams of different sizes that are not present in a binary anomaly detection model; computes an anomaly score based upon the number of distinct n-grams and a total count of the n-grams in the input dataset; uses the anomaly score to determine whether an input dataset contains an anomaly; and outputs the input dataset based on whether the input dataset contains an anomaly.
55. A system for outputting data based on anomaly detection, comprising: a digital processing device that: receives an input dataset; generates n-grams of different sizes from the input dataset; counts the number of distinct n-grams in the n-grams of different sizes that are not present in a binary anomaly detection model; computes an anomaly score based upon the number of distinct n-grams and a total count of the n-grams in the input dataset; uses the anomaly score to determine whether an input dataset contains an anomaly; and outputs the input dataset based on whether the input dataset contains an anomaly. 58. The system of claim 55 , wherein the anomaly score is compared to a threshold level to determine whether the input dataset contains an anomaly.