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Mirco Nanni
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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.
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Q
M. Nanni
and
Trasarti, R.
,
“
Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)
”
, in
SEBD
, 2010, pp. 126-133.
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R. Trasarti
,
Giannotti, F.
,
Nanni, M.
,
Pedreschi, D.
, and
Renso, C.
,
“
A Query Language for Mobility Data Mining
”
,
IJDWM
, vol. 7, pp. 24-45, 2011.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Query Answering in Nondeterministic, Nonmonotonic Logic Databases
”
, in
FQAS
, 1998, pp. 175-187.
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P
S. Rinzivillo
,
Gabrielli, L.
,
Nanni, M.
,
Pappalardo, L.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
The purpose of motion: Learning activities from Individual Mobility Networks
”
, in
International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014
, 2014.
DOI
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V. Grossi
,
Guns, T.
,
Monreale, A.
,
Nanni, M.
, and
Nijssen, S.
,
“
Partition-Based Clustering Using Constraint Optimization
”
, in
Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach
, Springer International Publishing, 2016, pp. 282–299.
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N
F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Nondeterministic, Nonmonotonic Logic Databases
”
,
IEEE Trans. Knowl. Data Eng.
, vol. 13, pp. 813-823, 2001.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}
”
, 2004.
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R. Guidotti
,
Nanni, M.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Never drive alone: Boosting carpooling with network analysis
”
,
Information Systems
, vol. 64, pp. 237–257, 2017.
DOI
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M
M. Nanni
,
Trasarti, R.
,
Furletti, B.
,
Gabrielli, L.
,
Van Der Mede, P.
,
De Bruijn, J.
,
de Romph, E.
, and
Bruil, G.
,
“
MP4-A Project: Mobility Planning For Africa
”
, in
In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013)
, Cambridge, USA, 2013.
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M. Nanni
,
Trasarti, R.
, and
Giannotti, F.
,
“
Movement Behaviour Recognition for Water Activities
”
, in
Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers
, 2017.
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M. Nanni
,
Trasarti, R.
,
Cintia, P.
,
Furletti, B.
,
Renso, C.
,
Gabrielli, L.
,
Rinzivillo, S.
, and
Giannotti, F.
,
“
Mobility Profiling
”
, in
Data Science and Simulation in Transportation Research
, IGI Global, 2014, pp. 1-29.
DOI
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Pinelli, F.
,
Renso, C.
,
Rinzivillo, S.
, and
Trasarti, R.
,
“
Mobility data mining: discovering movement patterns from trajectory data
”
, in
Computational Transportation Science
, 2010, pp. 7-10.
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P. Bonato
,
Cintia, P.
,
Fabbri, F.
,
Fadda, D.
,
Giannotti, F.
,
Lopalco, P. Luigi
,
Mazzilli, S.
,
Nanni, M.
,
Pappalardo, L.
,
Pedreschi, D.
,
Penone, F.
,
Rinzivillo, S.
,
Rossetti, G.
,
Savarese, M.
, and
Tavoschi, L.
,
“
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
”
. 2020.
DOI
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
, and
Pinelli, F.
,
“
Mining sequences with temporal annotations
”
, in
SAC
, 2006, pp. 593-597.
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R. Trasarti
,
Pinelli, F.
,
Nanni, M.
, and
Giannotti, F.
,
“
Mining mobility user profiles for car pooling
”
, in
KDD
, 2011, pp. 1190-1198.
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F. Giannotti
,
Nanni, M.
,
Pedreschi, D.
,
Renso, C.
, and
Trasarti, R.
,
“
Mining Mobility Behavior from Trajectory Data
”
, in
CSE (4)
, 2009, pp. 948-951.
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L
F. Giannotti
,
Nanni, M.
, and
Pedreschi, D.
,
“
Logic-Based Knowledge Discovery in Databases
”
, in
EJC
, 2000, pp. 279-283.
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K
M. Nanni
and
Trasarti, R.
,
“
K-BestMatch Reconstruction and Comparison of Trajectory Data
”
, in
ICDM Workshops
, 2009, pp. 610-615.
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M. Nanni
and
Trasarti, R.
,
“
K-BestMatch Reconstruction and Comparison of Trajectory Data
”
, in
ICDM Workshops
, 2009, pp. 610-615.
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I
F. Giannotti
,
Manco, G.
,
Nanni, M.
,
Pedreschi, D.
, and
Turini, F.
,
“
Integration of Deduction and Induction for Mining Supermarket Sales Data
”
, in
SEBD
, 1999, pp. 117-131.
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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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R. Trasarti
,
Pinelli, F.
,
Nanni, M.
, and
Giannotti, F.
,
“
Individual Mobility Profiles: Methods and Application on Vehicle Sharing
”
, in
Twentieth Italian Symposium on Advanced Database Systems, {SEBD} 2012, Venice, Italy, June 24-27, 2012, Proceedings
, 2012.
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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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