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Conference Proceedings
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., “A Generalisation-based Approach to Anonymising Movement Data”, 13th AGILE conference on Geographic Information Science. 2010.
G. Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., “From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data”, IEEE Conference on Visual Analytics Science and Technology. 2011.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Explaining the PRoduct Range Effect in Purchase Data”, IEEE Big Data. 2013.
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.
Conference Paper
S. Rinzivillo and Ruggieri, S., “Who/Where Are My New Customers?”, in ISMIS Industrial Session, 2011, pp. 307-317.
S. Rinzivillo, de Siqueira, F. L., Gabrielli, L., Renso, C., and Bogorny, V., “Where Have You Been Today? Annotating Trajectories with DayTag”, in International Conference on Spatial and Spatio-temporal Databases (SSTD), 2013, pp. 467-471.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., and Giannotti, F., “Visual Cluster Analysis of Large Collections of Trajectories”, in IEEE Visual Analytics Science and Tecnology (VAST 2009), 2009.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., and Pedreschi, D., “A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data”, in SSTD, 2009, pp. 432-435.
A. Gargantini, Riccobene, E., and Rinzivillo, S., “Using Spin to Generate Tests from ASM Specifications”, in Abstract State Machines, 2003, pp. 263-277.
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.
R. Ong, Pinelli, F., Trasarti, R., Nanni, M., Renso, C., Rinzivillo, S., and Giannotti, F., “Traffic Jams Detection Using Flock Mining”, in ECML/PKDD (3), 2011, pp. 650-653.
S. Rinzivillo, Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F., “The purpose of motion: Learning activities from Individual Mobility Networks”, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.
F. Pratesi, Monreale, A., Wang, H. Wendy, Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Aware Distributed Mobility Data Analytics”, in SEBD, Roccella Jonica, 2013.
F. Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., “Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks”, in ECML PKDD 2020 Workshops, Cham, 2020.
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., “Pisa Tourism fluxes Observatory: deriving mobility indicators from GSM call habits”, in NetMob Conference 2013, 2013.
G. Rossetti, Pappalardo, L., and Rinzivillo, S., “A novel approach to evaluate community detection algorithms on ground truth”, in 7th Workshop on Complex Networks, Dijon, France, 2016.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., “NDlib: Studying Network Diffusion Dynamics”, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., “Mobility data mining: discovering movement patterns from trajectory data”, in Computational Transportation Science, 2010, pp. 7-10.
V. M. de Lira, Rinzivillo, S., Times, V. C., and Renso, C., “{MAPMOLTY:} {A} Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data”, in Web Engineering, 14th International Conference, {ICWE} 2014, Toulouse, France, July 1-4, 2014. Proceedings, 2014, pp. 528–531.
R. Guidotti, Monreale, A., and Rinzivillo, S., “Learning Data Mining”, in 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018.
V. M. de Lira, Rinzivillo, S., Renso, C., Times, V. C., and Tedesco, P. {\'ı}ciaC. A. R., “Investigating semantic regularity of human mobility lifestyle”, in 18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014, Porto, Portugal, 2014, pp. 314–317.
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.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., Rinzivillo, S., and Trasarti, R., “GeoPKDD – Geographic Privacy-aware Knowledge Discovery”, in The European Future Technologies Conference (FET 2009), 2009.
S. Rinzivillo and Turini, F., “Extracting spatial association rules from spatial transactions”, in ACM GIS, 2005, pp. 79-86.
R. Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., “Exploring Real Mobility Data with M-Atlas”, in ECML/PKDD (3), 2010, pp. 624-627.

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