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A
F. D. C. Albuquerque, Casanova, M. A., de Carvalho, M. T. M., de Macêdo, J. A. F., and Renso, C., “A Proactive Ap- plication to Monitor Truck Fleets”, in Mobile Data Management Conference, 2013, 2013.
K. R. Apt and Pedreschi, D., “Proving Termination of General Prolog Programs”, in TACS, 1991, pp. 265-289.
M. Atzori, Bonchi, F., Giannotti, F., Pedreschi, D., and Abul, O., “Privacy-Aware Knowledge Discovery from Location Data”, in MDM, 2007, pp. 283-287.
B
A. Basu, Monreale, A., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., Yanagihara, T., and Trasarti, R., “A Privacy Risk Model for Trajectory Data”, in Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings, 2014, pp. 125–140.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “The pursuit of hubbiness: Analysis of hubs in large multidimensional networks”, J. Comput. Science, vol. 2, pp. 223-237, 2011.
B. Bertolino, Mancarella, P., Meo, L., Nini, L., Pedreschi, D., and Turini, F., “A Progress Report on the LML Project”, in FGCS, 1988, pp. 675-684.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “Pre-processing for Constrained Pattern Mining”, in SEBD, 2003, pp. 519-530.
F. Bonchi and Giannotti, F., “Pushing Constraints to Detect Local Patterns”, in Local Pattern Detection, 2004, pp. 1-19.
C
M. Coscia, Pennacchioli, D., and Giannotti, F., “Product assortment and customer mobility”, EPJ Data Science, vol. 4, pp. 1–18, 2015.
F
B. Furletti, Bellandi, A., Romei, A., and Grossi, V., “PUSHING CONSTRAINTS IN ASSOCIATION RULE MINING: AN ONTOLOGY-BASED APPROACH ”, in IADIS International Conference WWW/Internet 2007, 2007.
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
F. Giannotti, Greco, S., Saccà, D., and Zaniolo, C., “Programming with Non-Determinism in Deductive Databases”, Ann. Math. Artif. Intell., vol. 19, pp. 97-125, 1997.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases”, IEEE Systems Journal, 2013.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, “Privacy-preserving data mining from outsourced databases.”, in the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.
V. Grossi, Guns, T., Monreale, A., Nanni, M., and Nijssen, S., “Partition-Based Clustering Using Constraint Optimization”, in Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach, Springer International Publishing, 2016, pp. 282–299.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., “Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences”, IEEE Transactions on Knowledge and Data Engineering, 2018.
M
G. Mariani, Monreale, A., and Naretto, F., “Privacy Risk Assessment of Individual Psychometric Profiles”, in Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 2021.
A. Marrella, Monreale, A., Kloepper, B., and Krueger, M. W., “Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry”, in Cloud Computing Technology and Science (CloudCom), 2016 IEEE International Conference on, 2016.
P. Mascellani and Pedreschi, D., “Proving termination of Prolog programs”, in GULP-PRODE (1), 1994, pp. 46-61.
A. Monreale, Trasarti, R., Renso, C., Pedreschi, D., and Bogorny, V., “Preserving privacy in semantic-rich trajectories of human mobility”, in SPRINGL, 2010, pp. 47-54.
A. Monreale, Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D., “Privacy-by-Design in Big Data Analytics and Social Mining”, EPJ Data Science, vol. 10, 2014.
A. Monreale, Wang, H. Wendy, Pratesi, F., Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., “Privacy-Preserving Distributed Movement Data Aggregation”, in Geographic Information Science at the Heart of Europe, D. Vandenbroucke, Bucher, B., and Crompvoets, J., Eds. Springer International Publishing, 2013, pp. 225-245.
A. Monreale and Wang, H. Wendy, “Privacy-Preserving Outsourcing of Data Mining”, in 40th IEEE Annual Computer Software and Applications Conference, {COMPSAC} Workshops 2016, Atlanta, GA, USA, June 10-14, 2016, Atlanta, GA, USA, 2016.
P. Mukala, Cerone, A., and Turini, F., “Process mining event logs from FLOSS data: state of the art and perspectives”, in International Conference on Software Engineering and Formal Methods, 2014.
N
F. Naretto, Pellungrini, R., Monreale, A., Nardini, F. Maria, and Musolesi, M., “Predicting and Explaining Privacy Risk Exposure in Mobility Data”, in Discovery Science, Cham, 2020.

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