Pedreschi Dino

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Dino Pedreschi is a Professor of Computer Science at the University of Pisa, and a pioneering scientist in mobility data mining, social network mining and privacy-preserving data mining. He co-leads with Fosca Giannotti the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, one of the earliest research lab centered on data mining. His research focus is on big data analytics and mining and their impact on society. He is a founder of the Business Informatics MSc program at Univ. Pisa, a course targeted at the education of interdisciplinary data scientists. Dino has been a visiting scientist at Barabasi Lab (Center for Complex Network Research) of Northeastern University, Boston (2009-2010), and earlier at the University of Texas at Austin (1989-90), at CWI Amsterdam (1993) and at UCLA (1995). In 2009, Dino received a Google Research Award for his research on privacy-preserving data mining.
Topics: 
Big Data Analytics
Social Network Analysis and Mining
Analysis of Human Mobility
Privacy-by-Design and Ethical Data Mining
Nowcasting of Socio-Economic Indicators
Complex Network Dynamics
Data Mining and Knowledge Discovery
Privacy Preserving Data Mining
Constraint-Based Pattern Discovery
Data Mining Query Language
Market Basket Analysis
Fraud Detection
Logic in Databases
Non Monotonic Non Deterministic Temporal Reasoning
Deductive and Object-Oriented Databases
Formal Methods
Logic Programming
2009 Google Research Award on Privacy
2017 University of Pisa Ordine del Cherubino
1989-1990 Visiting scientist at University of Texas, Austin
1993 Visiting scientist at CWI Amsterdam
1995 Visiting scientist at UCLA
2009-2010 Visiting scientist at Barabasi Lab (Center for Complex Network Research) of Northeastern University, Boston
2004 Co-Chair of ECML/PKDD
2005 Vice-Chair of ICDM
2014 Vice-Chair of ICDE
1987 Ph.D. in Computer Science at University of Pisa
Position
Full Professor
Affiliation
Department of Computer Science, University of Pisa (DI-UNIPI)
Room
318
Phone
+39 050 221 2752
Email
Homepage
Google Scholar
Dino Pedreschi on Google Scholar
DBLP
Dino Pedreschi on DBLP
Scopus
Dino Pedreschi on Scopus
ArnetMiner
Dino Pedreschi on ArnetMiner
Twitter
Dino Pedreschi on Twitter

Publications

2019

Pages

Blog

L'Intelligenza Artificiale che conosciamo oggi è basata su una precisa tecnologia: Big Data + Machine Learning, cioè i dati uniti all'apprendimento automatico.

L'effetto più sorprendente della rivoluzione digitale che stiamo vivendo non sta tanto nel fatto che facciamo azioni attraverso gli strumenti digitali, quanto piuttosto che qualsiasi cosa che facciamo lascia traccia.

Dino Pedreschi has been nominated by the Italian Ministry of Education, University and Research (MIUR) as one of the components of the Expert Group on Artificial Intelligence.

A short interview of Dino Pedreschi by the journalists of Report, an independent journalistic TV program aired by RAI, the italian national public broadcasting television. Free registration is required for viewing the video.

On the fourth issue of the ISTI News newsletter you'll find the papers "Clustering individual transactional data for masses of users" by Riccardo Guidotti, Anna Monreale, Mirco Nanni, Fosca Giannotti, Din

Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its externalities, but experience shows that it is difficult to boost the adoption of car

Clustering Individual Transactional Data for Masses of Users

Mining a large number of datasets recording human activities for making sense of individual data is the key enabler of a new wave of personalized knowledge-based services.

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

Data Science - 16 giugno 2016

The increasing interest on data science from both the academic and industrial worlds led to the creation of a brand new Ph.D.

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