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)
