Grossi Valerio

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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.
Topics: 
Mining Data Streams
Constrained Data Mining
PHD in Computer Science at University of Pisa
Position
Researcher
Affiliation
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)
Phone
+39 050 221 2701
Email
Homepage

Publications

2018

2016

2015

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ISTI News June 2017

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