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Conference Paper
M. Nanni, Trasarti, R., Renso, C., Giannotti, F., and Pedreschi, D., “Advanced knowledge discovery on movement data with the GeoPKDD system”, in EDBT, 2010, pp. 693-696.
M. Nanni, Trasarti, R., Renso, C., Giannotti, F., and Pedreschi, D., “Advanced knowledge discovery on movement data with the GeoPKDD system”, in EDBT, 2010, pp. 693-696.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “Adaptive Constraint Pushing in Frequent Pattern Mining”, in PKDD, 2003, pp. 47-58.
P. Mukala, Cerone, A., and Turini, F., “An abstract state machine (ASM) representation of learning process in FLOSS communities”, in International Conference on Software Engineering and Formal Methods, 2014.
F. Fiore and Giannotti, F., “An abstract interpreter for the specification language LOTOS”, in FORTE, 1994, pp. 309-323.
Book Chapter
C. Renso, Puntoni, S., Frentzos, E., Mazzoni, A., Moelans, B., Pelekis, N., and Pini, F., “Wireless Network Data Sources: Tracking and Synthesizing Trajectories”, in Mobility, Data Mining and Privacy, 2008, pp. 73-100.
R. Guidotti and Berlingerio, M., “Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services”, in Complex Networks VII, Springer International Publishing, 2016, pp. 65–78.
F. Turini and Furletti, B., “What else can be extracted from ontologies? Influence Rules”, in Software and Data Technologies, Springer, 2012.
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., “Use of Mobile Phone Data to Estimate Visitors Mobility Flows”, in Software Engineering and Formal Methods, vol. 8938, Springer International Publishing, 2015, pp. 214-226.
F. Giannotti, Gabrielli, L., Pedreschi, D., and Rinzivillo, S., “Understanding human mobility with big data”, in Solving Large Scale Learning Tasks. Challenges and Algorithms, Springer International Publishing, 2016, pp. 208–220.
D. Aquilino, Renso, C., and Turini, F., “Towards {D}eclarative {GIS} {A}nalysis”, 1996, pp. 99–105.
R. Guidotti and Cintia, P., “Towards a Boosted Route Planner Using Individual Mobility Models”, in Software Engineering and Formal Methods, Springer Berlin Heidelberg, 2015, pp. 108–123.
A. Sirbu, Ruskin, H. J., and Crane, M., “Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role”, in Evolutionary Algorithms, InTech, 2011.
M. Nanni, Kuijpers, B., Körner, C., May, M., and Pedreschi, D., “Spatiotemporal Data Mining”, in Mobility, Data Mining and Privacy, 2008, pp. 267-296.
S. Kisilevich, Mansmann, F., Nanni, M., and Rinzivillo, S., “Spatio-temporal clustering”, in Data Mining and Knowledge Discovery Handbook, 2010, pp. 855-874.
M. Wachowicz and Renso, C., “Spatio and Spatio-temporal Reasoning and Decision Support Tools”, in Entry at Encyclopedia of Social Network Analysis and Mining, Springer., 2013.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Retrieving Points of Interest from Human Systematic Movements”, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294–308.
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.
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.
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.
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.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., “Opinion dynamics: models, extensions and external effects”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 363–401.
M. Nanni, Trasarti, R., Cintia, P., Furletti, B., Renso, C., Gabrielli, L., Rinzivillo, S., and Giannotti, F., “Mobility Profiling”, in Data Science and Simulation in Transportation Research, IGI Global, 2014, pp. 1-29.
F. Giannotti and Pedreschi, D., “Mobility, Data Mining and Privacy: A Vision of Convergence”, in Mobility, Data Mining and Privacy, 2008, pp. 1-11.

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