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D
G. Amato
,
Giannotti, F.
, and
Mainetto, G.
,
“
Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation
”
, in
VLDB
, 1993, pp. 405-415.
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L. Pappalardo
and
Simini, F.
,
“
Data-driven generation of spatio-temporal routines in human mobility
”
,
Data Mining and Knowledge Discovery
, 2017.
DOI
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Datalog++: a Basis for Active Object.Oriented Databases
”
, in
SEBD
, 1997, pp. 325-340.
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F. Giannotti
,
Manco, G.
,
Nanni, M.
, and
Pedreschi, D.
,
“
Datalog++: A Basis for Active Object-Oriented Databases
”
, in
DOOD
, 1997, pp. 283-301.
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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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L. Corciulo
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Datalog with Non-Deterministic Choice Computes NDB-PTIME
”
, in
DOOD
, 1993, pp. 49-66.
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M. Aldinucci
,
Ruggieri, S.
, and
Torquati, M.
,
“
Decision tree building on multi-core using FastFlow
”
,
Concurrency and Computation: Practice and Experience
, vol. 26, pp. 800–820, 2014.
DOI
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F. Giannotti
and
Manco, G.
,
“
Declarative Knowledge Extraction with Interactive User-Defined Aggregates
”
, in
FQAS
, 2000, pp. 435-444.
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M. E. Carboni
,
Foddai, V.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Declarative Reconstruction of Updates in Logic Databases: a Compilative Approach
”
, in
GULP-PRODE
, 1995, pp. 169-182.
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M. E. Carboni
,
Giannotti, F.
,
Foddai, V.
, and
Pedreschi, D.
,
“
Declarative Reconstruction of Updates in Logic Databases: A Compilative Approach
”
, in
SEBD
, 1995, pp. 3-13.
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F. Giannotti
and
Pedreschi, D.
,
“
Declarative Semantics for Pruning Operators in Logic Programming
”
, in
LPNMR
, 1990, pp. 27-37.
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P. Mascellani
and
Pedreschi, D.
,
“
The Declarative Side of Magic
”
, in
Computational Logic: Logic Programming and Beyond
, 2002, pp. 83-108.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Deductive and Inductive Reasoning on Spatio-Temporal Data
”
, in
INAP/WLP
, 2004, pp. 98-115.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Deductive and Inductive Reasoning on Trajectories
”
, in
SEBD
, 2004, pp. 98-105.
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F. Giannotti
,
Manco, G.
, and
Pedreschi, D.
,
“
A Deductive Data Model for Representing and Querying Semistructured Data
”
, in
APPIA-GULP-PRODE
, 1997, pp. 129-140.
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S. Bruestle
,
Pappalardo, L.
, and
Guidotti, R.
,
“
Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data
”
,
Available at SSRN 3452058
, 2019.
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M. Coscia
,
Rossetti, G.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
DEMON: a local-first discovery method for overlapping communities
”
, in
The 18th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '12, Beijing, China, August 12-16, 2012
, 2012.
DOI
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M. Coscia
,
Rossetti, G.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
DEMON: a Local-First Discovery Method for Overlapping Communities
”
, in
KDD 2012
, 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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C. R. Daniel Ornellana
,
“
Developing a Spatial Knowledge Representation for Pedestrian Interactions
”
, 2009.
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L. Milli
,
Rossetti, G.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Diffusive Phenomena in Dynamic Networks: a data-driven study
”
, in
International Conference on Complex Networks CompleNet
, Boston March 5-8 2018, 2018.
DOI
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J. Kim
,
Sirbu, A.
,
Giannotti, F.
, and
Gabrielli, L.
,
“
Digital Footprints of International Migration on Twitter
”
, in
International Symposium on Intelligent Data Analysis
, 2020.
DOI
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G. Tomei
and
Natilli, M.
,
Dinamiche di impoverimento. Meccanismi, traiettorie ed effetti in un contesto locale
. Carocci Editore, 2011.
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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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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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