Data mining; pattern recognition
One of the key steps in data mining is pattern recognition, the discovery and characterisation of patterns The Faculty is home to award-winning researchers who specialise in the area of Data mining: pattern recognition. Sub-areas within this specialisation include: Rule induction for Forecasting Method Selection; Pattern Discovery in Motion Time Series via Structure- based Spectral Clustering; Characteristic-based Descriptors for Motion Sequence Recognition; Tensor Space Learning for Analysing Activity Patterns from Video Sequences, and; Characteristic-based Clustering for Time Series Data.
Potential PhD topics
The School will consider any research topic that interests potential PhD students; however, students will benefit from researching in areas that align with the School's strengths. Please contact the Faculty to discuss your PhD topic.
Alternatively you may contact one of our academics below to discuss your area of interest.
