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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.
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.
C. R. Daniel Ornellana, Developing a Spatial Knowledge Representation for Pedestrian Interactions, 2009.
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.
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.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., DEMON: a Local-First Discovery Method for Overlapping Communities, in KDD 2012, 2012.
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.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Deductive and Inductive Reasoning on Trajectories, in SEBD, 2004, pp. 98-105.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Deductive and Inductive Reasoning on Spatio-Temporal Data, in INAP/WLP, 2004, pp. 98-115.
P. Mascellani and Pedreschi, D., The Declarative Side of Magic, in Computational Logic: Logic Programming and Beyond, 2002, pp. 83-108.
F. Giannotti and Pedreschi, D., Declarative Semantics for Pruning Operators in Logic Programming, in LPNMR, 1990, pp. 27-37.
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.
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.
F. Giannotti and Manco, G., Declarative Knowledge Extraction with Interactive User-Defined Aggregates, in FQAS, 2000, pp. 435-444.
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.
L. Corciulo, Giannotti, F., and Pedreschi, D., Datalog with Non-Deterministic Choice Computes NDB-PTIME, in DOOD, 1993, pp. 49-66.
F. Giannotti and Pedreschi, D., Datalog with Non-Deterministic Choice Computers NDB-PTIME, J. Log. Program., vol. 35, pp. 79-101, 1998.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Datalog++: A Basis for Active Object-Oriented Databases, in DOOD, 1997, pp. 283-301.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Datalog++: a Basis for Active Object.Oriented Databases, in SEBD, 1997, pp. 325-340.
L. Pappalardo and Simini, F., Data-driven generation of spatio-temporal routines in human mobility, Data Mining and Knowledge Discovery, 2017.
G. Amato, Giannotti, F., and Mainetto, G., Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation, in VLDB, 1993, pp. 405-415.
D. Janssens, Giannotti, F., Nanni, M., Pedreschi, D., and Rinzivillo, S., Data Science for Simulating the Era of Electric Vehicles, KI - Künstliche Intelligenz, 2012.
F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., Data Mining for Intelligent Web Caching, in ITCC, 2001, pp. 599-603.
F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., Data Mining for Intelligent Web Caching, in ITCC, 2001, pp. 599-603.
R. Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., A Data Mining Approach to Assess Privacy Risk in Human Mobility Data, ACM Trans. Intell. Syst. Technol., vol. 9, pp. 31:1–31:27, 2017.

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