The aim of Computational and Data Lab is to develop algorithms, models and software tools to detect, understand and design scientific and tecnologic solutions through the analysis of data obtained from experiments and tests, and/or through simulation of the processes generating them, dealing with new scientific challanges and multidisciplinary activities, related to ICT. Its activity is focused on the resolution of real problems with methodologies spanning from computer simulation, to scientific modelling and analysys, processing and management of complexand big data, sometimes heterogenous, integrating knowledge domains and competences that belong to Computer Science, Applied Mathematics and Statistics.
Fields of applications are going to be characterized by big data from different sources (numeric variables, items and values, symbolic data, texts, pictures and video, streams and multi-way data, networks, etc.). At the same time, appropriately integrating the methodologies of CDS-Lab with different knowledge domains, it is possible to yield a new and more efficient perspective to real problems analysys and interpretation of the results. Moreover, the research activity will be held in collaboration with experts of different.
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