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G
F. Giannotti
,
Nanni, M.
, and
Pedreschi, D.
,
“
Efficient Mining of Temporally Annotated Sequences
”
, in
SDM
, 2006.
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F. Giannotti
and
Pedreschi, D.
,
“
Datalog with Non-Deterministic Choice Computers NDB-PTIME
”
,
J. Log. Program.
, vol. 35, pp. 79-101, 1998.
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F. Giannotti
,
Mazzoni, A.
,
Puntoni, S.
, and
Renso, C.
,
“
Synthetic generation of cellular network positioning data
”
, in
GIS
, 2005, pp. 12-20.
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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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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.
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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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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases
”
, in
CSL
, 1998, pp. 58-72.
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A. Gargantini
,
Riccobene, E.
, and
Rinzivillo, S.
,
“
Using Spin to Generate Tests from ASM Specifications
”
, in
Abstract State Machines
, 2003, pp. 263-277.
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D. Gambetta
,
Mauro, G.
, and
Pappalardo, L.
,
“
Mobility Constraints in Segregation Models
”
,
Scientific Reports
, vol. 13, p. 12087, 2023.
DOI
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L. Gabrielli
,
Furletti, B.
,
Giannotti, F.
,
Nanni, M.
, and
Rinzivillo, S.
,
“
Use of Mobile Phone Data to Estimate Visitors Mobility Flows
”
, in
Software Engineering and Formal Methods
, vol. 8938, Springer International Publishing, 2015, pp. 214-226.
DOI
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L. Gabrielli
,
Furletti, B.
,
Giannotti, F.
,
Nanni, M.
, and
Rinzivillo, S.
,
“
Use of mobile phone data to estimate visitors mobility flows
”
, in
Proceedings of MoKMaSD
, 2014.
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L. Gabrielli
,
Fadda, D.
,
Rossetti, G.
,
Nanni, M.
,
Piccinini, L.
,
Pedreschi, D.
,
Giannotti, F.
, and
Lattarulo, P.
,
“
Discovering Mobility Functional Areas: A Mobility Data Analysis Approach
”
, in
International Workshop on Complex Networks
, 2018.
DOI
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L. Gabrielli
,
Furletti, B.
,
Trasarti, R.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
City users’ classification with mobile phone data
”
, in
IEEE Big Data
, Santa Clara (CA) - USA, 2015.
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F
A. S. Furtado
,
Fileto, R.
, and
Renso, C.
,
“
Assessing the Attractiveness of Places with Movement Data
”
,
Journal of Information and Data Management
, vol. 4, 2013.
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A. S. Furtado
,
Fileto, R.
, and
Renso, C.
,
“
M-Attract: Assessing Places Attractiveness by using Moving Objects Trajectories Data
”
, in
GEOINFO 2012 Brazilian Conference on Geographical Information Systems
, 2012.
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B. Furletti
and
Turini, F.
,
“
Mining Influence Rules out of Ontologies
”
, in
International Conference on Software and Data Technologies (ICSOFT)
, Siviglia, Spagna, 2011.
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B. Furletti
and
Turini, F.
,
“
Knowledge Discovery in Ontologies
”
,
Intelligent Data Analysis
, vol. 16, 2012.
DOI
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B. Furletti
,
Fadda, D.
,
Piccini, L.
,
Nanni, M.
, and
Lattarulo, P.
,
“
Big Data and Public Administration: a case study for Tuscany Airports
”
, in
SEBD - Italian Symposium on Advanced Database Systems
, Ugento, Lecce (Italy), 2016.
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B. Furletti
,
Gabrielli, L.
,
Renso, C.
, and
Rinzivillo, S.
,
“
Identifying users profiles from mobile calls habits
”
, in
ACM SIGKDD International Workshop on Urban Computing
, Beijing, China, 2012.
DOI
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B. Furletti
,
Trasarti, R.
,
Gabrielli, L.
,
Rinzivillo, S.
,
Pappalardo, L.
, and
Giannotti, F.
,
“
Analisi di Mobilita' con dati eterogenei
”
, ISTI - CNR, Pisa, 2012.
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B. Furletti
,
Gabrielli, L.
,
Trasarti, R.
,
Smoreda, Z.
,
Vanhoof, M.
, and
Ziemlicki, C.
,
“
Detecting and understanding big events in big cities
”
, in
NetMob
, Boston, 2015.
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B. Furletti
,
Trasarti, R.
,
Cintia, P.
, and
Gabrielli, L.
,
“
Discovering and Understanding City Events with Big Data: The Case of Rome
”
,
Information
, vol. 8, p. 74, 2017.
DOI
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B. Furletti
,
“
Ontology Driven Knowledge Discovery
”
, IMT - Lucca, Lucca - Italy, 2009.
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B. Furletti
,
Gabrielli, L.
,
Giannotti, F.
,
Milli, L.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach
”
, in
47th SIS Scientific Meeting of the Italian Statistica Society
, Cagliari , 2014.
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B. Furletti
,
Gabrielli, L.
,
Renso, C.
, and
Rinzivillo, S.
,
“
Analysis of GSM Calls Data for Understanding User Mobility Behavior
”
,
IEEE Big Data
. Santa Clara, California, 2013.
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