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Conference Paper
F. Giannotti, Nanni, M., Pinelli, F., and Pedreschi, D., “Trajectory pattern mining”, in KDD, 2007, pp. 330-339.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., “Trajectory pattern analysis for urban traffic”, in Second International Workshop on Computational Transportation Science, SEATTLE, USA, 2009, pp. 43-47.
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.
R. Guidotti, Trasarti, R., Nanni, M., and Giannotti, F., “Towards user-centric data management: individual mobility analytics for collective services”, in Proceedings of the 4th {ACM} {SIGSPATIAL} International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015, 2015.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Towards low-perturbation anonymity preserving pattern discovery”, in SAC, 2006, pp. 588-592.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Towards Discovery of Eras in Social Networks”, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.
M. Berlingerio, Bonchi, F., and Giannotti, F., “Towards Constraint-Based Subgraph Mining”, in SEBD, 2007, pp. 274-281.
F. Giannotti, Manco, G., and Turini, F., “Towards a Logic Query Language for Data Mining”, in Database Support for Data Mining Applications, 2004, pp. 76-94.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Time-Annotated Sequences for Medical Data Mining”, in ICDM Workshops, 2007, pp. 133-138.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., “The Three Dimensions of Social Prominence”, in Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings, 2013.
R. Guidotti, Trasarti, R., Nanni, M., Giannotti, F., and Pedreschi, D., “There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas”, in 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, 2017.
M. Berlingerio, Pinelli, F., Nanni, M., and Giannotti, F., “Temporal mining for interactive workflow data analysis”, in KDD, 2009, pp. 109-118.
M. Berlingerio, Giannotti, F., Nanni, M., and Pinelli, F., “Temporal analysis of process logs: a case study”, in SEBD, 2008, pp. 430-437.
F. Giannotti and Hermenegildo, M. V., “A Technique for Recursive Invariance Detection and Selective Program Specification”, in PLILP, 1991, pp. 323-334.
F. Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., “Synthetic generation of cellular network positioning data”, in GIS, 2005, pp. 12-20.
F. Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., “Synthetic generation of cellular network positioning data”, in GIS, 2005, pp. 12-20.
G. Amato, Giannotti, F., and Mainetto, G., “Static Analysis of Transactions for Conservative Multigranularity Locking”, in DBPL, 1997, pp. 413-430.
G. Amato, Giannotti, F., and Mainetto, G., “Static Analysis of Transactions: an Experiment of Abstract Interpretation Usage”, in FMLDO, 1993, pp. 19-29.
F. Giannotti, Manco, G., and Turini, F., “Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study”, in PKDD, 2001, pp. 128-139.
M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., “Spatio-Temporal Reasoning with LDLT: First Steps Towards a Deductive System for Geographical Applications”, in DDLP, 1996, pp. 135-151.
M. Coscia, Giannotti, F., and Pensa, R. G., “Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography”, in ASONAM, 2009, pp. 279-283.
M. Coscia, Giannotti, F., and Pensa, R. G., “Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography”, in ASONAM, 2009, pp. 279-283.
F. Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., “SoBigData: Social Mining & Big Data Ecosystem”, in Companion of the The Web Conference 2018 on The Web Conference 2018, 2018.
L. Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, “Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter”, in Conference of the Italian Association for Artificial Intelligence, 2017.
G. Rossetti, Berlingerio, M., and Giannotti, F., “Scalable Link Prediction on Multidimensional Networks”, in ICDM Workshops, Vancouver, 2011, pp. 979-986.

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