Data Mining and Pattern Recognition Research Centre

The Data Mining and Pattern Recognition Research Centre is developing novel methods and systems for the analysis and recognition of images and other data, learning behaviours and causal models that have a wide range of potential applications including prediction of credit ratings, restoration of historical documents, medical diagnosis, programme ratings, semantic tagging, segmentation of types of viewers and their behaviours, text mining and retrieval, intelligent scheduling, user modelling, and as embedded self-learning components in intelligent agents.

The research themes of the data mining and patterns recognition research centre include but are not limited to:

• Development of novel data mining techniques, such as temporal mining and cost-sensitive decision tree learning
• Information extraction and retrieval
• Semantic web services and ontologies
• Inductive logic programming
• Document image analysis and enhancement
• Digital libraries  and document digitisation Pipelines
• Video analytics and data mining for surveillance and security