Giannotti Fosca

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Fosca Giannotti is a director of research of computer science at the Information Science and Technology Institute “A. Faedo” of the National Research Council, Pisa, Italy. Fosca Giannotti is a pioneering scientist in mobility data mining, social network analysis and privacy-preserving data mining. Fosca leads the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and ISTI-CNR, founded in 1994 as one of the earliest research lab centered on data mining.
Fosca's research focus is on social mining from big data: smart cities, human dynamics, social and economic networks, ethics and trust, diffusion of innovations. She has coordinated tens of European projects and industrial collaborations. Fosca is now the coordinator of SoBigData, the European research infrastructure on Big Data Analytics and Social Mining, an ecosystem of ten cutting edge European research centres providing an open platform for interdisciplinary data science and data-driven innovation.

Contraint-Based Frequent Pattern Mining
Mobility Data Mining
Privacy-Preserving Data Mining
Complex Network Analysis and Mining
Data Mining
1989-1990 Visiting Scientist at MCC, Microelectronics and Computer Technology Corporation, Austin (USA)
1993 Visiting Scientist at CWI Amsterdam
1995 Visiting Scientist at UCLA
2006 Visiting scientist at UCLA
2006-2009 National Coordinator of the ICT Department of CNR, Area Data Mining and Semantic Web
2009-2010 Visiting scientist at Barabasi Lab (Center for Complex Network Research) of Northeastern University, Boston (USA)
2004 Co-Chair of ECML/PKDD
2008 Program Chair of ICDM
1982 Master Degree in Computer Science at University of Pisa with 110/100 cum laude
Director of Research
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)
+39 050 315 299
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KDD Lab Workshop 2018

The 2018 edition of the annual KDD Lab Workshop, an opportunity to recap the achievements of last year and to share new directions for the future.

Mettere a disposizione di tutti i dati, in formato aperto, sulle decisioni di investimento pubblico utilizzando il CUP (Codice Unico di Progetto) che da oltre 10 anni identifica le decisioni di investimento pubblico, una chiave univoca in grado di co

The video, from minute 41, shows Fosca Giannotti's talk at the GARR 2017 Conference.

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

MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements.

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.

ISTI News June 2017

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

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

At the "Measuring Migrations" workshop, a side event of the NTTS2017 conference, Fosca Giannotti, Dino Pedreschi and Alina Sirbu have contributed with a talk titled "Exploring human mobility and migration