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Conference Paper
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.
F. Giannotti, Nanni, M., Pinelli, F., and Pedreschi, D., Trajectory pattern mining, in KDD, 2007, pp. 330-339.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., The Type System of Galileo, in Data Types and Persistence (Appin), 1985, pp. 101-119.
A. Albano, Giannotti, F., Orsini, R., and Pedreschi, D., The Type System of Galileo, in Data Types and Persistence (Appin), Informal Proceedings, 1985, pp. 175-195.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., Una Metodologia Basata sulla Classificazione per la Pianificazione degli Accertamenti nel Rilevamento di Frodi, in SEBD, 1999, pp. 69-84.
B. Furletti, Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., and Pedreschi, D., Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., Use of mobile phone data to estimate visitors mobility flows, in Proceedings of MoKMaSD, 2014.
F. Giannotti and Latella, D., Using Abstract Interpretation for Gate splitting in LOTOS Specifications, in WSA, 1992, pp. 194-204.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., Using Data Mining Techniques in Fiscal Fraud Detection, in DaWaK, 1999, pp. 369-376.
F. Bonchi, Giannotti, F., and Pedreschi, D., On Verification in Logic Database Languages, in Computational Logic, 2000, pp. 957-971.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., and Giannotti, F., Visual Cluster Analysis of Large Collections of Trajectories, in IEEE Visual Analytics Science and Tecnology (VAST 2009), 2009.
F. Giannotti, Nanni, M., Pedreschi, D., and Samaritani, F., WebCat: Automatic Categorization of Web Search Results, in SEBD, 2003, pp. 507-518.
M. Coscia, Rossetti, G., Pennacchioli, D., Ceccarelli, D., and Giannotti, F., You Know Because I Know”: a Multidimensional Network Approach to Human Resources Problem, in ASONAM 2013, 2013.
Conference Proceedings
D. Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Explaining the PRoduct Range Effect in Purchase Data, IEEE Big Data. 2013.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., A Generalisation-based Approach to Anonymising Movement Data, 13th AGILE conference on Geographic Information Science. 2010.
P. Cintia, Pappalardo, L., Pedreschi, D., Giannotti, F., and Malvaldi, M., The harsh rule of the goals: data-driven performance indicators for football teams, IEEE International Conference on Data Science and Advanced Analytics. 2015.
J. - F. Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings, Lecture Notes in Computer Science, vol. 3202. Springer, 2004.
F. Pinelli, Monreale, A., Trasarti, R., and Giannotti, F., Location prediction within the mobility data analysis environment Daedalus, First International Workshop on Computational Transportation Science. Dublin, Ireland, 2008.
J. - F. Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings, Lecture Notes in Computer Science, vol. 3201. Springer, 2004.
M. Coscia, Rinzivillo, S., Pedreschi, D., and Giannotti, F., Optimal Spatial Resolution for the Analysis of Human Mobility, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Instanbul, Turkey, 2012.
A. Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., WhereNext: a Location Predictor on Trajectory Pattern Mining, 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2009.

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