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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.
V. Grossi, Monreale, A., Nanni, M., Pedreschi, D., and Turini, F., Clustering Formulation Using Constraint Optimization, in Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers, 2015.
K. R. Apt, Gabbrielli, M., and Pedreschi, D., A Closer Look at Declarative Interpretations, J. Log. Program., vol. 28, pp. 147-180, 1996.
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.
B. Thanh Luong, Ruggieri, S., and Turini, F., Classification Rule Mining Supported by Ontology for Discrimination Discovery, in Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on, 2016.
S. Rinzivillo and Turini, F., Classification in Geographical Information Systems, in PKDD, 2004, pp. 374-385.
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.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Classes of terminating logic programs, TPLP, vol. 2, pp. 369-418, 2002.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Classes of Terminating Logic Programs, CoRR, vol. cs.LO/0106, 2001.
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.
M. Wachowicz, Ligtenberg, A., Renso, C., and Gürses, S. F., Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process, in Mobility, Data Mining and Privacy, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008, pp. 39-72.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Characterisations of Termination in Logic Programming, in Program Development in Computational Logic, 2004, pp. 376-431.
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.
B. Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., Causal Discrimination Discovery Through Propensity Score Analysis, arXiv preprint arXiv:1608.03735, 2016.
V. Grossi, Romei, A., and Ruggieri, S., A Case Study in Sequential Pattern Mining for IT-Operational Risk, in ECML/PKDD (1), 2008, pp. 424-439.
D. Pedreschi and Ruggieri, S., A Case Study in Logic Program Verification: the Vanilla Metainterpreter, in GULP-PRODE, 1995, pp. 643-654.

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