'Smart' methods for detecting computer network intruders
The researchers report that the rough sets method offers significant advantages in intrusion detection, including the ability to work with missing values and imprecise data. The team's study found an average classification accuracy rate of 75.68% for rough sets, compared to 69.78% for neural nets and 51.16% for inductive learning.