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Conference Paper
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., Hiding Sensitive Trajectory Patterns, in ICDM Workshops, 2007, pp. 693-698.
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., Hiding Sequences, in SEBD, 2007, pp. 233-241.
O. Abul, Atzori, M., Bonchi, F., and Giannotti, F., Hiding Sequences, in ICDE Workshops, 2007, pp. 147-156.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Individual Mobility Profiles: Methods and Application on Vehicle Sharing, in Twentieth Italian Symposium on Advanced Database Systems, {SEBD} 2012, Venice, Italy, June 24-27, 2012, Proceedings, 2012.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Information diffusion in complex networks: The active/passive conundrum, in International Workshop on Complex Networks and their Applications, 2017.
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., Injecting Discrimination and Privacy Awareness Into Pattern Discovery, in 12th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, Brussels, Belgium, December 10, 2012, 2012, pp. 360–369.
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., Integration of Deduction and Induction for Mining Supermarket Sales Data, in SEBD, 1999, pp. 117-131.
G. Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., Interaction Prediction in Dynamic Networks exploiting Community Discovery, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.
C. Lucchese, Bonchi, F., Giannotti, F., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in SEBD, 2006, pp. 329-338.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in KDID, 2006, pp. 42-62.
F. Giannotti, Invited talk: Logical Data Mining Query Languages, in KDID, 2002, p. 1.
F. Giannotti and Manco, G., LDL-M$_{\mbox{ine}}$: Integrating Data Mining with Intelligent Query Answering, in JELIA, 2002, pp. 517-520.
G. Rossetti, Berlingerio, M., and Giannotti, F., Link Prediction su Reti Multidimensionali, in Sistemi Evoluti per Basi di Dati - {SEBD} 2011, Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems, Maratea, Italy, June 26-29, 2011, 2011.
A. Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., Location Prediction through Trajectory Pattern Mining (Extended Abstract), in SEBD, 2010, pp. 134-141.
F. Giannotti, Manco, G., and Wijsen, J., Logical Languages for Data Mining, in Logics for Emerging Applications of Databases, 2003, pp. 325-361.
F. Giannotti, Nanni, M., and Pedreschi, D., Logic-Based Knowledge Discovery in Databases, in EJC, 2000, pp. 279-283.
F. Giannotti and Manco, G., Making Knowledge Extraction and Reasoning Closer, in PAKDD, 2000, pp. 360-371.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences, in 2017 IEEE International Conference on Data Mining (ICDM), 2017.
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., Meaningful explanations of Black Box AI decision systems, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., Mining Clinical Data with a Temporal Dimension: A Case Study, in BIBM, 2007, pp. 429-436.
M. Berlingerio, Bonchi, F., Chelazzi, S., Curcio, M., Giannotti, F., and Scatena, F., Mining HLA Patterns Explaining Liver Diseases, in CBMS, 2006, pp. 702-707.
F. Giannotti, Nanni, M., Pedreschi, D., Renso, C., and Trasarti, R., Mining Mobility Behavior from Trajectory Data, in CSE (4), 2009, pp. 948-951.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Mining mobility user profiles for car pooling, in KDD, 2011, pp. 1190-1198.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., Mining sequences with temporal annotations, in SAC, 2006, pp. 593-597.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Information Propagation in a Network, in SEBD, 2009, pp. 333-340.

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