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Computer scientists develop tool for mining genomic data

Researchers have created a computational tool to mine genomic data and identify biologically meaningful gene regulatory networks. The tool uses a probabilistic framework that integrates data from various sources, including microarrays, DNA sequences, and protein-protein interactions.

'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.