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Matematica e Informatica

Knowledge Extraction from Discrete Structures (KEDS)

The main research activities focus on the design, development and analysis of efficient algorithms and automatic techniques for knowledge extraction from large datasets modeled by discrete structures, such as strings, graphs, multidimentional structures, etc..

The competences of members in the team include big data technologies, machine learning, design and analysis of algorithms and data structures, data mining, bioinformatics, data analysis.

Members
Raffaele Giancarlo
Giosuè Lo Bosco
Simona Ester Rombo


Students
Daniele Schicchi