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G
V. Grossi, Pedreschi, D., and Turini, F., “Data Mining and Constraints: An Overview”, in Data Mining and Constraint Programming, Springer International Publishing, 2016, pp. 25–48.
F. Giannotti and Pedreschi, D., “Declarative Semantics for Pruning Operators in Logic Programming”, in LPNMR, 1990, pp. 27-37.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., “Datalog++: a Basis for Active Object.Oriented Databases”, in SEBD, 1997, pp. 325-340.
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., and Pedreschi, D., “A Deductive Data Model for Representing and Querying Semistructured Data”, in APPIA-GULP-PRODE, 1997, pp. 129-140.
F. Giannotti and Pedreschi, D., “Datalog with Non-Deterministic Choice Computers NDB-PTIME”, J. Log. Program., vol. 35, pp. 79-101, 1998.
F. Giannotti and Manco, G., “Declarative Knowledge Extraction with Interactive User-Defined Aggregates”, in FQAS, 2000, pp. 435-444.
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.
F
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.
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.
D
C. R. Daniel Ornellana, “Developing a Spatial Knowledge Representation for Pedestrian Interactions”, 2009.
C
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., “DEMON: a Local-First Discovery Method for Overlapping Communities”, in KDD 2012, 2012.
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.
L. Corciulo, Giannotti, F., and Pedreschi, D., “Datalog with Non-Deterministic Choice Computes NDB-PTIME”, in DOOD, 1993, pp. 49-66.
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.
G. Calogiuri, Johansen, P. Foss, Rossi, A., and Thurston, M., “Do “girls just wanna have fun”? Participation trends and motivational profiles of women in Norway’s ultimate mass participation ski event”, Frontiers in Psychology, vol. 10, p. 2548, 2019.
B
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.
A. Brogi, Renso, C., and Turini, F., “Dynamic Composition of Parameterised Logic Modules”, Computer Languages, pp. 211–242, 1999.
A. Brogi, Renso, C., and Turini, F., “Dynamic composition of parameterised logic modules”, Comput. Lang., vol. 25, pp. 211-242, 1999.
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.
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.
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.
F. Beltram, Giannotti, F., and Pedreschi, D., “Data Science a Game-changer for Science and Innovation”. G7 Academy, 2017.

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