Grossi Valerio

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Valerio Grossi holds a Ph.D. in Computer Science from the University of Pisa and he is currently a research fellow at the Department of Computer Science, University of Pisa. He has been a researcher at Department of Pure and Applied Mathematics, University of Padova. 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.
Topics: 
Mining Data Streams
Constrained Data Mining
PHD in Computer Science at University of Pisa
Position
Post Doc
Affiliation
Department of Computer Science, University of Pisa (DI-UNIPI)
Room
332
Floor
2nd
Phone
+39 050 221 2701
Email
Homepage

Publications

2016

2015

2007

Blog

ISTI News June 2017

On the second issue of the ISTI News newsletter you'll find a description of the new Ph.D.