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Claudio Sartori

Full Professor

Department of Computer Science and Engineering

Academic discipline: ING-INF/05 Information Processing Systems


Keywords: Data mining Machine learning Big data analytics Data science Quantum Machine Learning

Data Mining methods. Study of clustering methods in centralized, distributed and streaming environment. Study of user-oriented interfaces for the presentation of data mining results. Problems of privacy and inference attacks in data mining. Text mining in law and industrial environment. ICT infrastructures for storing and accessing distributed information, as in peer-to-peer systems and in grid computing. Methods for the maintenance of materialized views in data warehouse systems.

The research group coordinated by Claudio Sartori has been dealing with data mining methods since 1999. In the last years the research moved towards big data analytics and development of data mining algorithms in high performance computing and parallel environments. Finally, in the last years the group started a research thread on Quantum Machine Learning

Ongoing project: DARE - Digital Lifelong Prevention

Last project: Toreador (concluded)

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