Systems and Methods for Using Multiple In-line Heuristics to Reduce False Positives

摘要

An exemplary method for using multiple in-line heuristics to reduce false positives may include: 1) training a first heuristic using a set of training data, 2) deploying the first heuristic, 3) identifying false positives produced by the first heuristic during deployment, 4) modifying the training data to include the false positives produced by the first heuristic, 5) creating a second heuristic using the modified training data, 6) deploying both the first heuristic and the second heuristic, and then 7) applying both the first heuristic and the second heuristic, in sequence, to a set of field data.