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Conference Paper
R. Liu, Wang, W. Hui, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., AUDIO: An Integrity ıt Audi}ting Framework of ıt O}utlier-Mining-as-a-Service Systems, in ECML/PKDD (2), 2012.
R. Liu, Wang, W. Hui, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., AUDIO: An Integrity ıt Audi}ting Framework of ıt O}utlier-Mining-as-a-Service Systems, in ECML/PKDD (2), 2012.
R. Trasarti, Furletti, B., Gabrielli, L., Nanni, M., and Pedreschi, D., Big data analytics for smart mobility: a case study, in Proceedings of the Workshops of the {EDBT/ICDT} 2014 Joint Conference {(EDBT/ICDT} 2014), Athens, Greece, March 28, 2014., 2014, pp. 363–364.
L. Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., City users’ classification with mobile phone data, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
L. Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., City users’ classification with mobile phone data, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
G. De Francis Morales, Gionis, A., and Lucchese, C., From chatter to headlines: harnessing the real-time web for personalized news recommendation, in Proceedings of the fifth ACM international conference on Web search and data mining, New York, NY, USA, 2012.
G. Amato, Falchi, F., and Gennaro, C., Geometric consistency checks for kNN based image classification relying on local features, in SISAP, 2011.
D. Wang, Pedreschi, D., Song, C., Giannotti, F., and Barabási, A. - L., Human mobility, social ties, and link prediction, in KDD, 2011.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Mining Mobility User Profiles for Car Pooling, in Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, 2011, pp. 1190–1198.
K. Garimella, Morales, G. De Francis, Gionis, A., and Mathioudakis, M., Quantifying Controversy in Social Media, in Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, New York, NY, USA, 2016.
K. Garimella, Morales, G. De Francis, Gionis, A., and Mathioudakis, M., Quantifying Controversy in Social Media, in Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, New York, NY, USA, 2016.
R. Guidotti, Trasarti, R., and Nanni, M., {TOSCA:} two-steps clustering algorithm for personal locations detection, in Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, 2015.
V. Arnaboldi, Passarella, A., Tesconi, M., and Gazzè, D., Towards a Characterization of Egocentric Networks in Online Social Networks, in OTM Workshops, 2011.
Journal Article
M. Nanni, Thanos, C., Giannotti, F., and Rauber, A., Big Data Analytics: towards a European research agend, ERCIM News 100, 2015.
V. Arnaboldi, Guazzini, A., and Passarella, A., Egocentric online social networks: Analysis of key features and prediction of tie strength in Facebook, Computer Communications, vol. 36, pp. 1130-1144, 2013.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Evolving networks: Eras and turning points, Intell. Data Anal., vol. 17, pp. 27-48, 2013.
G. Amato, Gennaro, C., and Savino, P., MI-File: using inverted files for scalable approximate similarity search, Multimedia Tools and Applications, pp. 1–30, 2012.
A. Monreale, Andrienko, G. L., Andrienko, N. V., Giannotti, F., Pedreschi, D., Rinzivillo, S., and Wrobel, S., Movement Data Anonymity through Generalization, Transactions on Data Privacy, vol. 3, pp. 91-121, 2010.
F. Giannotti, Pedreschi, D., Pentland, A., Lukowicz, P., Kossmann, D., Crowley, J. L., and Helbing, D., A planetary nervous system for social mining and collective awareness, CoRR, vol. abs/1304.3700, 2013.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H., Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases, IEEE Systems Journal, 2013.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., The pursuit of hubbiness: Analysis of hubs in large multidimensional networks, J. Comput. Science, vol. 2, pp. 223-237, 2011.

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