I am Cristian Consonni and I am a PhD student in Computer Science at the Department of Information Engineering and Computer Science (DISI) at the University of Trento, Italy. I am part of the dbTrento group.
I am interested in machine learning and data mining techniques on time-evolving graphs. This field has several applications in the domain of Big Data. Graphs are fundamental structures that can encode many aspect of the data available today in digital form. This representation that is even more natural for anything on the Web: from the link structure of the World Wide Web itself, the relations among individual in social networks, the interactions among users on microblogging platforms, and the semantic relations among concept in knowledge bases and among topics in Wikipedia. Many applications use graphs as a data structure to provide services as suggesting friends on social networks, or answer queries on knowledge bases.
These applications require the ability to process massive graphs, furthermore another common feature of these graphs is that they evolve with time, i.e. their node and edges vary at different point in time.
My research is funded by a grant of SpazioDati s.r.l.
Other interests and passions
I am an advocate for free software and open knowledge.