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A. Raffaetà, Renso, C., and Turini, F., Qualitative Reasoning in a Spatio-Temporal Language, in SEBD, 2002, pp. 105-118.
A. Raffaetà, Renso, C., and Turini, F., Qualitative Spatial Reasoning in a Logical Framework, in AI*IA, 2003, pp. 78-90.
L. Milli, Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F., and Sebastiani, F., Quantification in Social Networks, in International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, France, 2015.
L. Milli, Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D., and Sebastiani, F., Quantification Trees, in 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, 2013, pp. 528–536.
P. Eirinakis, Ruggieri, S., Subramani, K., and Wojciechowski, P., On quantified linear implications, Annals of Mathematics and Artificial Intelligence, vol. 71, pp. 301–325, 2014.
L. Pappalardo and Cintia, P., Quantifying the relation between performance and success in soccer, Advances in Complex Systems, p. 1750014, 2017.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Query Answering in Nondeterministic, Nonmonotonic Logic Databases, in FQAS, 1998, pp. 175-187.
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.
M. Nanni and Trasarti, R., Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract), in SEBD, 2010, pp. 126-133.
G. Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., Querying and Reasoning for Spatiotemporal Data Mining, in Mobility, Data Mining and Privacy, 2008, pp. 335-374.
G. Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., Querying and Reasoning for Spatio-Temporal Data Mining, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.
F. Giannotti and Manco, G., Querying inductive Databases via Logic-Based user-defined aggregates, in APPIA-GULP-PRODE, 1999, pp. 605-620.
F. Giannotti and Manco, G., Querying Inductive Databases via Logic-Based User-Defined Aggregates, in PKDD, 1999, pp. 125-135.

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