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Journal Article
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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A. Sirbu
,
Kerr, G.
,
Crane, M.
, and
Ruskin, H. J.
,
“
RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.
”
,
PLoS One
, vol. 7, p. e50986, 2012.
PubMed
DOI
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M. Wachowicz
,
de Macêdo, J. A. F.
,
Renso, C.
, and
Ligtenberg, A.
,
“
{The Role of a Multi-tier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility}
”
, 2009.
Google Scholar
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G. Andrienko
,
Andrienko, N.
,
Hunter, C.
,
Rinzivillo, S.
, and
Wrobel, S.
,
“
Scalable Analysis of Movement Data for Extracting and Exploring Significant Places
”
,
IEEE Transactions on Visualization and Computer Graphics
, vol. 19, 2013.
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A. Lulli
,
Gabrielli, L.
,
Dazzi, P.
,
Dell'Amico, M.
,
Michiardi, P.
,
Nanni, M.
, and
Ricci, L.
,
“
Scalable and flexible clustering solutions for mobile phone-based population indicators
”
,
I. J. Data Science and Analytics
, vol. 4, pp. 285–299, 2017.
DOI
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A. Baroni
and
Ruggieri, S.
,
“
Segregation discovery in a social network of companies
”
,
Journal of Intelligent Information Systems
, 2017.
DOI
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C. Parent
,
Spaccapietra, S.
,
Renso, C.
,
Andrienko, G.
,
Andrienko, N.
,
Bogorny, V.
,
Damiani M L,
,
Gkoulalas-Divanis A,
,
de Macêdo, J. A. F.
, and
Pelekis, N.
,
“
Semantic Trajectories Modeling and Analysis
”
,
ACM Computing Surveys
, vol. 45, 2013.
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F. Giannotti
,
Pedreschi, D.
, and
Zaniolo, C.
,
“
Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases
”
,
J. Comput. Syst. Sci.
, vol. 62, pp. 15-42, 2001.
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S. Marchetti
,
Giusti, C.
,
Pratesi, M.
,
Salvati, N.
,
Giannotti, F.
,
Pedreschi, D.
,
Rinzivillo, S.
,
Pappalardo, L.
, and
Gabrielli, L.
,
“
Small Area Model-Based Estimators Using Big Data Sources
”
,
Journal of Official Statistics
, vol. 31, pp. 263–281, 2015.
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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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G. Andrienko
,
Andrienko, N.
,
Boldrini, C.
,
Caldarelli, G.
,
Cintia, P.
,
Cresci, S.
,
Facchini, A.
,
Giannotti, F.
,
Gionis, A.
,
Guidotti, R.
, and
others,
“
(So) Big Data and the transformation of the city
”
,
International Journal of Data Science and Analytics
, 2020.
DOI
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M. Coscia
,
Rinzivillo, S.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Spatial and Temporal Evaluation of Network-based Analysis of Human Mobility
”
,
Social Network Analysis and Mining
, vol. to appear, 2013.
Google Scholar
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Spatio-Temporal Data
”
,
Spatio-Temporal Databases: Flexible Querying and Reasoning
, p. 75, 2013.
Google Scholar
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M. Fiore
,
Shafiq, Z.
,
Smoreda, Z.
,
Stanica, R.
, and
Trasarti, R.
,
“
Special Issue on Mobile Traffic Analytics
”
,
Computer Communications
, vol. 95, pp. 1–2, 2016.
DOI
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F. Giannotti
,
Manco, G.
, and
Turini, F.
,
“
Specifying Mining Algorithms with Iterative User-Defined Aggregates
”
,
IEEE Trans. Knowl. Data Eng.
, vol. 16, pp. 1232-1246, 2004.
Google Scholar
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R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Naretto, F.
,
Turini, F.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Stable and actionable explanations of black-box models through factual and counterfactual rules
”
,
Data Mining and Knowledge Discovery
, 2022.
Google Scholar
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G. Tomei
,
Paletti, F.
, and
Natilli, M.
,
“
Stiramenti identitari. Strategie di integrazione degli strannieri nella provincia di Massa Carrara tra appartenenza etnica ed esperienza transnazionale
”
, 2011.
Google Scholar
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G. Cornacchia
and
Pappalardo, L.
,
“
STS-EPR: Modelling individual mobility considering the spatial, temporal, and social dimensions together
”
, 2021.
DOI
Google Scholar
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G. Rossetti
,
Guidotti, R.
,
Miliou, I.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks
”
,
Social Network Analysis and Mining
, vol. 6, p. 86, 2016.
DOI
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R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Turini, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
A survey of methods for explaining black box models
”
,
ACM computing surveys (CSUR)
, vol. 51, p. 93, 2018.
DOI
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V. Grossi
,
Romei, A.
, and
Turini, F.
,
“
Survey on using constraints in data mining
”
,
Data Mining and Knowledge Discovery
, vol. 31, pp. 424–464, 2017.
DOI
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F. Giannotti
,
Matteucci, A.
,
Pedreschi, D.
, and
Turini, F.
,
“
Symbolic Evaluation with Structural Recursive Symbolic Constants
”
,
Sci. Comput. Program.
, vol. 9, pp. 161-177, 1987.
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V. Ambriola
,
Giannotti, F.
,
Pedreschi, D.
, and
Turini, F.
,
“
Symbolic Semantics and Program Reduction
”
,
IEEE Trans. Software Eng.
, vol. 11, pp. 784-794, 1985.
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G. Rossetti
,
Pappalardo, L.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Tiles: an online algorithm for community discovery in dynamic social networks
”
,
Machine Learning
, vol. 106, pp. 1213–1241, 2017.
DOI
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M. Nanni
and
Pedreschi, D.
,
“
Time-focused clustering of trajectories of moving objects
”
,
J. Intell. Inf. Syst.
, vol. 27, pp. 267-289, 2006.
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