This paper explores the application of text mining to the problem of detecting protein functional sites in the biomedical literature, and specifically considers the task of identifying catalytic sites in that literature. We provide strong evidence for the need for text mining techniques that address residue-level protein function annotation through an analysis of two corpora in terms of their c...

This paper details the design and implementation of a host-based intrusion detection system (Hewlett-Packard’s Praesidium IDS/9000) and a specialized kernel data source which supplies customized data to the IDS. Instead of the common attack-signature matching used in most other intrusion detection systems, IDS/9000 performs real-time monitoring of the system looking for misuse actions that are ...

A range of data sources across the internet, such as google search terms, twitter topics and Facebook messages, amongst others, can be viewed as kinds of sensors from which information might be extractable about trends in the expression of matters of concern to people. We focus on the problem of how to identify emerging trends after the original textual data has been processed into a quantitati...