Roberto Trasarti was born in 1979 in Italy. He graduated in Computer Science in 2006, at the University of Pisa. He discussed his thesis on ConQueSt: a Constraint-based Query System aimed at supporting frequent patterns discovery. He started the Ph.D. in Computer Science at the School for Graduate Studies “Galileo Galilei”, (University of Pisa). In June 2010 he received his Ph.D. presenting the thesis entitled “Mastering the Spatio-Temporal Knowledge Discovery Process”. He is currently a member of ISTI-CNR, and also a member of Knowledge Discovery and Delivery Laboratory. His interests regard Data mining, Spatio-Temporal data analysis, Artificial intelligence, Automatic Reasoning.
Valerio Grossi holds a Ph.D. in Computer Science from the University of Pisa. His research interests focus on the analysis of massive and complex data including mining data streams, ontology-driven mining, business intelligence and knowledge discovery systems. He took part in several European research projects as a member of the UNIPI research group, among which figure BRITE (Business Register Interoperability throughout Europe), MUSING (MUlti-industry, Semantic-based next generation business INtelliGence) and ICON (Inductive Constraint Programming), where he focused on the development of brand new data mining and knowledge discovery applications and on the research for the development of new business intelligence approaches.