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M. Berlingerio
,
Bonchi, F.
,
Curcio, M.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation
”
, in
Biomedical Data and Applications
, 2009, pp. 211-236.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Evolving networks: Eras and turning points
”
,
Intell. Data Anal.
, vol. 17, pp. 27–48, 2013.
DOI
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Towards Discovery of Eras in Social Networks
”
, in
M3SN 2010 Workshop, in conjunction with ICDE2010
, 2010.
DOI
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Foundations of Multidimensional Network Analysis
”
, in
ASONAM
, 2011, pp. 485-489.
DOI
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Finding and Characterizing Communities in Multidimensional Networks
”
, in
ASONAM
, 2011, pp. 490-494.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Finding redundant and complementary communities in multidimensional networks
”
, in
CIKM
, 2011, pp. 2181-2184.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
The pursuit of hubbiness: Analysis of hubs in large multidimensional networks
”
,
J. Comput. Science
, vol. 2, pp. 223-237, 2011.
DOI
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M. Berlingerio
,
Bonchi, F.
,
Chelazzi, S.
,
Curcio, M.
,
Giannotti, F.
, and
Scatena, F.
,
“
Mining HLA Patterns Explaining Liver Diseases
”
, in
CBMS
, 2006, pp. 702-707.
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M. Berlingerio
,
Bonchi, F.
, and
Giannotti, F.
,
“
Towards Constraint-Based Subgraph Mining
”
, in
SEBD
, 2007, pp. 274-281.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
As Time Goes by: Discovering Eras in Evolving Social Networks
”
, in
PAKDD (1)
, 2010, pp. 81-90.
DOI
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Discovering Eras in Evolving Social Networks (Extended Abstract)
”
, in
SEBD
, 2010, pp. 78-85.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Mining the Temporal Dimension of the Information Propagation
”
, in
IDA
, 2009, pp. 237-248.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Mining the Information Propagation in a Network
”
, in
SEBD
, 2009, pp. 333-340.
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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Time-Annotated Sequences for Medical Data Mining
”
, in
ICDM Workshops
, 2007, pp. 133-138.
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M. Berlingerio
,
Bicer, V.
,
Botea, A.
,
Braghin, S.
,
Lopes, N.
,
Guidotti, R.
, and
Pratesi, F.
,
“
Mobility Mining for Journey Planning in Rome
”
, in
Machine Learning and Knowledge Discovery in Databases
, 2015.
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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical Data with a Temporal Dimension: A Case Study
”
, in
BIBM
, 2007, pp. 429-436.
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M. Berlingerio
,
Giannotti, F.
,
Nanni, M.
, and
Pinelli, F.
,
“
Temporal analysis of process logs: a case study
”
, in
SEBD
, 2008, pp. 430-437.
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S. Bergamaschi
,
Carlini, E.
,
Ceci, M.
,
Furletti, B.
,
Giannotti, F.
,
Malerba, D.
,
Mezzanzanica, M.
,
Monreale, A.
,
Pasi, G.
,
Pedreschi, D.
,
Perego, R.
, and
Ruggieri, S.
,
“
Big Data Research in Italy: A Perspective
”
,
Engineering
, vol. 2, p. 163, 2016.
DOI
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F. Beltram
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Data Science a Game-changer for Science and Innovation
”
. G7 Academy, 2017.
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T. Bellemans
,
Bothe, S.
,
Cho, S.
,
Giannotti, F.
,
Janssens, D.
,
Knapen, L.
,
Körner, C.
,
May, M.
,
Nanni, M.
,
Pedreschi, D.
,
Stange, H.
,
Trasarti, R.
,
Yasar, A. - U. - H.
, and
Wets, G.
,
“
An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants
”
, in
Proceedings of the 3rd International Conference on Ambient Systems, Networks and Technologies {(ANT} 2012), the 9th International Conference on Mobile Web Information Systems (MobiWIS-2012), Niagara Falls, Ontario, Canada, August 27-29, 2012
, 2012.
DOI
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M. Becker
,
Caminiti, S.
,
Fiorella, D.
,
Francis, L.
,
Gravino, P.
,
Haklay, M. Muki
,
Hotho, A.
,
Loreto, V.
,
Mueller, J.
,
Ricchiuti, F.
,
Servedio, V. D. P.
,
Sirbu, A.
, and
Tria, F.
,
“
Awareness and learning in participatory noise sensing.
”
,
PLoS One
, vol. 8, p. e81638, 2013.
PubMed
DOI
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M. Batty
,
Axhausen, K. W.
,
Giannotti, F.
,
Pozdnoukhov, A.
,
Bazzani, A.
,
Wachowicz, M.
,
Ouzounis, G.
, and
Portugali, Y.
,
“
Smart cities of the future
”
,
European Physical Journal-Special Topics
, vol. 214, p. 481, 2012.
DOI
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A. Basu
,
Corena, J. C.
,
Monreale, A.
,
Pedreschi, D.
,
Giannotti, F.
,
Kiyomoto, S.
,
Vaidya, J.
, and
Miyake, Y.
,
“
CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud
”
, in
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
, 2014.
DOI
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A. Basu
,
Monreale, A.
,
Corena, J. C.
,
Giannotti, F.
,
Pedreschi, D.
,
Kiyomoto, S.
,
Miyake, Y.
,
Yanagihara, T.
, and
Trasarti, R.
,
“
A Privacy Risk Model for Trajectory Data
”
, in
Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings
, 2014, pp. 125–140.
DOI
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A. Basu
,
Monreale, A.
,
Trasarti, R.
,
Corena, J. C.
,
Giannotti, F.
,
Pedreschi, D.
,
Kiyomoto, S.
,
Miyake, Y.
, and
Yanagihara, T.
,
“
A risk model for privacy in trajectory data
”
,
Journal of Trust Management
, vol. 2, p. 9, 2015.
DOI
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