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A
M. Natilli
,
Fadda, D.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Licari, F.
,
“
Analysis and Visualization of Performance Indicators in University Admission Tests
”
, in
Formal Methods. FM 2019 International Workshops
, Cham, 2020.
DOI
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B
E. Ntoutsi
,
Fafalios, P.
,
Gadiraju, U.
,
Iosifidis, V.
,
Nejdl, W.
,
Vidal, M. - E.
,
Ruggieri, S.
,
Turini, F.
,
Papadopoulos, S.
,
Krasanakis, E.
, and
others,
“
Bias in data-driven artificial intelligence systems—An introductory survey
”
,
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
, vol. 10, p. e1356, 2020.
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A. Balliu
,
Olivetti, D.
,
Babaoglu, O.
,
Marzolla, M.
, and
Sirbu, A.
,
“
BiDAl: Big Data Analyzer for Cluster Traces
”
, in
Informatika (BigSys workshop)
, 2014.
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A. Balliu
,
Olivetti, D.
,
Babaoglu, O.
,
Marzolla, M.
, and
Sirbu, A.
,
“
A Big Data Analyzer for Large Trace Logs
”
,
Computing
, 2015.
DOI
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C
F. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery
”
, in
ICDE
, 2006, p. 159.
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F. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
A constraint-based querying system for exploratory pattern discovery
”
,
Inf. Syst.
, vol. 34, pp. 3-27, 2009.
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F. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
A constraint-based querying system for exploratory pattern discovery
”
,
Inf. Syst.
, vol. 34, pp. 3-27, 2009.
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D
R. Ortale
,
Ritacco, E.
,
Pelekisy, N.
,
Trasarti, R.
,
Costa, G.
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
, and
Theodoridis, Y.
,
“
DAEDALUS: A knowledge discovery analysis framework for movement data
”
, in
SEBD
, 2008, pp. 191-198.
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R. Ortale
,
Ritacco, E.
,
Pelekis, N.
,
Trasarti, R.
,
Costa, G.
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
, and
Theodoridis, Y.
,
“
The DAEDALUS framework: progressive querying and mining of movement data
”
, in
GIS
, 2008, p. 52.
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C. Bessiere
,
De Raedt, L.
,
Kotthoff, L.
,
Nijssen, S.
,
O'Sullivan, B.
, and
Pedreschi, D.
,
“
Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.
”
. 2016.
DOI
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R. Trasarti
,
Olteanu-Raimond, A. - M.
,
Nanni, M.
,
Couronné, T.
,
Furletti, B.
,
Giannotti, F.
,
Smoreda, Z.
, and
Ziemlicki, C.
,
“
Discovering urban and country dynamics from mobile phone data with spatial correlation patterns
”
,
Telecommunications Policy
, p. -, 2014.
DOI
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F
L. Kotthoff
,
Nanni, M.
,
Guidotti, R.
, and
O'Sullivan, B.
,
“
Find Your Way Back: Mobility Profile Mining with Constraints
”
, in
Principles and Practice of Constraint Programming
, Cork, 2015.
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G
M. Nanni
,
Andrienko, G.
,
Barabasi, A. - L.
,
Boldrini, C.
,
Bonchi, F.
,
Cattuto, C.
,
Chiaromonte, F.
,
Comandé, G.
,
Conti, M.
,
Coté, M.
,
Dignum, F.
,
Dignum, V.
,
Domingo-Ferrer, J.
,
Ferragina, P.
,
Giannotti, F.
,
Guidotti, R.
,
Helbing, D.
,
Kaski, K.
,
Kertész, J.
,
Lehmann, S.
,
Lepri, B.
,
Lukowicz, P.
,
Matwin, S.
,
Jiménez, D. Megías
,
Monreale, A.
,
Morik, K.
,
Oliver, N.
,
Passarella, A.
,
Passerini, A.
,
Pedreschi, D.
,
Pentland, A.
,
Pianesi, F.
,
Pratesi, F.
,
Rinzivillo, S.
,
Ruggieri, S.
,
Siebes, A.
,
Torra, V.
,
Trasarti, R.
,
van den Hoven, J.
, and
Vespignani, A.
,
“
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
”
, 2021.
DOI
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I
M. Nanni
,
Kotthoff, L.
,
Guidotti, R.
,
O'Sullivan, B.
, and
Pedreschi, D.
,
“
ICON Loop Carpooling Show Case
”
,
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach
, vol. 10101, p. 310, 2017.
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M. Nanni
,
Nijssen, S.
,
O'Sullivan, B.
,
Paparrizou, A.
,
Pedreschi, D.
, and
Simonis, H.
,
“
The Inductive Constraint Programming Loop
”
,
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach
, vol. 10101, p. 303, 2017.
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C. Bessiere
,
De Raedt, L.
,
Guns, T.
,
Kotthoff, L.
,
Nanni, M.
,
Nijssen, S.
,
O'Sullivan, B.
,
Paparrizou, A.
,
Pedreschi, D.
, and
Simonis, H.
,
“
The Inductive Constraint Programming Loop
”
,
IEEE Intelligent Systems
, 2017.
DOI
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F. Bonchi
,
Giannotti, F.
,
Lucchese, C.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
On Interactive Pattern Mining from Relational Databases
”
, in
KDID
, 2006, pp. 42-62.
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C. Lucchese
,
Bonchi, F.
,
Giannotti, F.
,
Orlando, S.
,
Perego, R.
, and
Trasarti, R.
,
“
On Interactive Pattern Mining from Relational Databases
”
, in
SEBD
, 2006, pp. 329-338.
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K
R. Guidotti
and
Rossetti, G.
,
“
“Know Thyself” How Personal Music Tastes Shape the Last.Fm Online Social Network
”
, in
Formal Methods. FM 2019 International Workshops
, Cham, 2020.
DOI
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P
F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
DOI
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S
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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R. Ong
,
Nanni, M.
,
Renso, C.
,
Wachowicz, M.
, and
Pedreschi, D.
,
“
A Study on Parameter Estimation for a Mining Flock Algorithm
”
, in
Mining Complex Patterns Workshop, ECML PKDD 2013
, 2013.
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T
M. Wachowicz
,
Ong, R.
, and
Renso, C.
,
“
Tailoring Moving Patterns to Contexts
”
, in
AGILE Conference
, Leuven, Belgium, 2013, 2013.
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R. Ong
,
Pinelli, F.
,
Trasarti, R.
,
Nanni, M.
,
Renso, C.
,
Rinzivillo, S.
, and
Giannotti, F.
,
“
Traffic Jams Detection Using Flock Mining
”
, in
ECML/PKDD (3)
, 2011, pp. 650-653.
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