Big Data Analytics

Big data analytics face the challenge of carrying out data analytics, improving the quality of available data, performing accurate prediction and visualization tasks dealing with extremely large and unstructured or semi-structured datasets. Research in this area spans from data quality assessment and improvement to the development of new methodologies for the discovery of hidden patterns within data extending current state of the art data mining techniques, such as data clustering, trend analysis, association rules extraction, etc., so that they efficiently and accurately perform at large scale and in real time. Specific focus is given on optimisation methodologies for knowledge discovery in large datasets.

Relevant Projects: Adapt4EE, eCOMPASS, NEMESYS, INERTIA, VIS-SENSE.


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