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F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., Complex Reasoning on Geographical Data, in SEBD, 2001, pp. 331-338.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., Complex Reasoning on Geographical Data, in SEBD, 2001, pp. 331-338.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Comparing General Mobility and Mobility by Car, in Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on, 2013.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., Community-centric analysis of user engagement in Skype social network, in International conference on Advances in Social Network Analysis and Mining, Paris, France, 2015.
F. Giannotti, Gozzi, C., and Manco, G., Clustering Transactional Data, in PKDD, 2002, pp. 175-187.
F. Giannotti, Gozzi, C., and Manco, G., Clustering Transactional Data, in SEBD, 2001, pp. 163-176.
A. Zanda, Körner, C., Giannotti, F., Schulz, D., and May, M., Clustering of German municipalities based on mobility characteristics: an overview of results, in GIS, 2008, p. 69.
R. Guidotti, Monreale, A., Nanni, M., Giannotti, F., and Pedreschi, D., Clustering Individual Transactional Data for Masses of Users, in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017.
G. Bachi, Coscia, M., Monreale, A., and Giannotti, F., Classifying Trust/Distrust Relationships in Online Social Networks, in 2012 International Conference on Privacy, Security, Risk and Trust, {PASSAT} 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, 2012, pp. 552–557.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection, in KDD, 1999, pp. 175-184.
M. Coscia, Giannotti, F., and Pedreschi, D., A classification for community discovery methods in complex networks, Statistical Analysis and Data Mining, vol. 4, pp. 512-546, 2011.
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.
F. Giannotti, Gozzi, C., and Manco, G., Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering, in ITCC, 2002, p. 312.
A. Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.
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B. Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., Authenticated Outlier Mining for Outsourced Databases, IEEE Transactions on Dependable and Secure Computing, 2017.
R.Liu, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems., in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012 , 2012.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., As Time Goes by: Discovering Eras in Evolving Social Networks, in PAKDD (1), 2010, pp. 81-90.
T. Ceccarelli, Centeno, D., Giannotti, F., Massolo, A., Parent, C., Raffaetà, A., Renso, C., Spaccapietra, S., and Turini, F., An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology, 2008.
A. Raffaetà, Ceccarelli, T., Centeno, D., Giannotti, F., Massolo, A., Parent, C., Renso, C., Spaccapietra, S., and Turini, F., An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology, GeoInformatica, vol. 12, pp. 37-72, 2008.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., Anonymity preserving pattern discovery, VLDB J., vol. 17, pp. 703-727, 2008.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., Anonymity and data mining, Comput. Syst. Sci. Eng., vol. 20, 2005.
L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., An analytical framework to nowcast well-being using mobile phone data, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.

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