Vehicle behaviour prediction provides important information for decision-making in modern intelligent transportation systems. People with different driving styles have considerably behaviours and hence exhibit tendency. However, most existing methods do not consider the tendencies apply same model to all vehicles. Furthermore, of driver classification rely on offline learning that requires a lo...

Malicious traffic classification is the initial and primary step for any network-based security systems. This systems include behavior-based anomaly detection system Intrusion Detection System. Existing methods always relies on conventional techniques process data in fixed sequence, which may leads to performance issues. Furthermore, require proper annotation volumetric data. Relying efficient ...

This paper describes the Classification Subtask of the NTCIR-5 Patent Retrieval Task. The purpose of this subtask is to evaluate the methods of classifying patents into multi-dimensional classification structures called F-term (File Forming Term) classification systems. We report on how this subtask was designed, the test collection released, and the results of the evaluation.

BACKGROUND This paper considers approaches to the question "Which long-term care facilities have residents with high use of acute hospitalisations?" It compares four methods of identifying long-term care facilities with high use of acute hospitalisations by demonstrating four selection methods, identifies key factors to be resolved when deciding which methods to employ, and discusses their appr...

Automatic document classification is of paramount importance to knowledge management in the information age. Document classification is a kind of text data mining and organization technique that automatically groups related documents into clusters. Most of the common techniques in document classification are based on the statistical analysis of a term, either word or phrase. Statistical analysi...