Computational Analysis & Modelling
The Computational Analysis and Modelling (CAM) research theme is engaged in the analysis and modelling of the real world. The activities of the group may be described under three headings:
- Direct interaction with time series and spatial data (Signals) in order to describe or model them either quantitatively, qualitatively or linguistically. This includes: data visualisation, temporal abstraction, data mining and statistical modelling.
- The construction and deployment of models (quantitative, qualitative, associational or procedural) of the mechanisms (Systems) responsible for observed data, in order to explain or predict them. The methods employed here
include: manual construction, compositional modelling, machine learning and systems identification. Meta-modelling activities are also included in this activity.
- The development of novel simulators (qualitative, interval based and quantitative) to predict the behaviour of systems.
Whilst these activities are generally applicable, the main application domain for the group is the Life Sciences, hence the fourth group activity is:
- The application of Computational Analysis and Modelling methods to the Life Sciences, which includes: Medical Informatics, Bio-informatics, Systems Biology, Computational Biology, Structural Biology and Chemoinformatics.
Visit the Computational Analysis & Modelling Homepage for more information:
