The Business Intelligence Group studies the architectures, techniques, and methodologies aimed at extracting value from data in the most diverse business contexts.
The innovation brought by data ranges from the digital transformation of business operational processes to the adoption of artificial intelligence techniques for the extraction of knowledge and the automation of the most advanced processes, passing through the study of optimized algorithms for data extraction and analysis.
We carry out both theoretical research and practical studies, with the awareness that without the former there is no real innovation and that without the latter there is no real technology transfer. We are driven by curiosity and often deviate from our core research area to work on problems that emerge from the projects and business contexts we face.
Our paper DART: De-Anonymization of Personal Gazetteers through Social Trajectories has been accepted for publication @ Special Issue on Privacy and Security for Location-based Services and DevicesAugust 28, 2020
Here are the slides from 'The Tell-Tale Cube' presented @ ADBIS2020August 18, 2020
Did you know we will host the 10th European Business Intelligence & Big Data Summer School in 2021?August 04, 2020
The new website is online!September 30, 2019
Lecture by Enrico Gallinucci on An introduction to Big Data at the SKA Data Challenges workshop, Istituto di Radioastronomia Bologna, ItalySeptember 24-28, 2018
Lectures on 'Boosting the Data Warehouse Life-Cycle Through Conceptual Design' at the BDMA Erasmus Mundus Joint Master Degree (Bruxelles, Belgium)October 4, 2018
Invited talk on 'Variety-aware explanation and analysis of document-oriented database' at EDA 2018 (Tanger, Morocco)September 24, 2017
Co-chair of the PhD Consortium at ADBIS 2017 (Nicosia, Greece)March 2016