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Book Chapter
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.
D. Pedreschi, Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., and Saygin, Y., Privacy Protection: Regulations and Technologies, Opportunities and Threats, in Mobility, Data Mining and Privacy, 2008, pp. 101-119.
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.
Conference Paper
R. G. Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining, in PiLBA, 2008.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., The patterns of musical influence on the Last.Fm social network, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
V. Verma, Betti, G., Ballini, F., Natilli, M., and Galgani, S., Personal income in the gross and net forms: applications of the Siena Micro-Simulation Model (SM2), in conference of the Società Italiana di Economia, Demografia e Statistica (SIEDS), Campobasso, 2003.
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. Tomei and Natilli, M., Poverty as a Social Condition: a Case Study on a Small Municipality in Tuscany, in Global Recession: Regional Impacts on Housing, Jobs, Health and Wellbeing, 2009.
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.
A. Sirbu and Babaoglu, O., Predicting System-level Power for a Hybrid Supercomputer, in 2016 International Conference on High Performance Computing Simulation (HPCS), Innsbruck, Austria, 2016.
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.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., Pre-processing for Constrained Pattern Mining, in SEBD, 2003, pp. 519-530.
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.
F. Pratesi, Monreale, A., Giannotti, F., and Pedreschi, D., Privacy Preserving Multidimensional Profiling, in International Conference on Smart Objects and Technologies for Social Good, 2017.
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.
R. Pellungrini, Monreale, A., and Guidotti, R., Privacy Risk for Individual Basket Patterns, in ECML PKDD 2018 Workshops, Cham, 2019.
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.
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.
M. Atzori, Bonchi, F., Giannotti, F., Pedreschi, D., and Abul, O., Privacy-Aware Knowledge Discovery from Location Data, in MDM, 2007, pp. 283-287.
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.
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.
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.
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.
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.
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.