Big Data Research in Italy: A Perspective

Sonia Bergamaschi; Emanuele Carlini; Michelangelo Ceci; Barbara Furletti; Fosca Giannotti; Donato Malerba; Mario Mezzanzanica; Anna Monreale; Gabriella Pasi; Dino Pedreschi; Raffele Perego; Salvatore Ruggieri

doi:10.1016/J.ENG.2016.02.011

Engineering (Jun 2016)

Big Data Research in Italy: A Perspective

Sonia Bergamaschi,
Emanuele Carlini,
Michelangelo Ceci,
Barbara Furletti,
Fosca Giannotti,
Donato Malerba,
Mario Mezzanzanica,
Anna Monreale,
Gabriella Pasi,
Dino Pedreschi,
Raffele Perego,
Salvatore Ruggieri

Affiliations

Sonia Bergamaschi: Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena 41125, Italy
Emanuele Carlini: High Performance Computing Laboratory, Institute of Information Science and Technologies of the Italian National Research Council (ISTI-CNR), Pisa 56124, Italy
Michelangelo Ceci: Department of Computer Science, University of Bari Aldo Moro, Bari 70125, Italy
Barbara Furletti: Knowledge Discovery and Data Mining Laboratory, ISTI-CNR, Pisa 56127, Italy
Fosca Giannotti: Knowledge Discovery and Data Mining Laboratory, ISTI-CNR, Pisa 56127, Italy
Donato Malerba: Department of Computer Science, University of Bari Aldo Moro, Bari 70125, Italy
Mario Mezzanzanica: Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan 20126, Italy
Anna Monreale: Knowledge Discovery and Data Mining Laboratory, ISTI-CNR, Pisa 56127, Italy
Gabriella Pasi: Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Milan 20126, Italy
Dino Pedreschi: Knowledge Discovery and Data Mining Laboratory, ISTI-CNR, Pisa 56127, Italy
Raffele Perego: High Performance Computing Laboratory, Institute of Information Science and Technologies of the Italian National Research Council (ISTI-CNR), Pisa 56124, Italy
Salvatore Ruggieri: Department of Computer Science, University of Pisa, Pisa 56127, Italy

DOI: https://doi.org/10.1016/J.ENG.2016.02.011
Journal volume & issue: Vol. 2, no. 2
pp. 163 – 170

Abstract

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The aim of this article is to synthetically describe the research projects that a selection of Italian universities is undertaking in the context of big data. Far from being exhaustive, this article has the objective of offering a sample of distinct applications that address the issue of managing huge amounts of data in Italy, collected in relation to diverse domains.

Published in Engineering

ISSN: 2095-8099 (Print); 2096-0026 (Online)
Publisher: Elsevier
Country of publisher: China
LCC subjects: Technology: Engineering (General). Civil engineering (General)
Website: http://www.journals.elsevier.com/engineering

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