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C. Lucchese, Bonchi, F., Giannotti, F., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in SEBD, 2006, pp. 329-338.
G. Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., Interaction Prediction in Dynamic Networks exploiting Community Discovery, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., Intensional Negation of Logic Programs: Examples and Implementation Techniques, in TAPSOFT, Vol.2, 1987, pp. 96-110.
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., Integration of Deduction and Induction for Mining Supermarket Sales Data, in SEBD, 1999, pp. 117-131.
P. Mancarella, Raffaetà, A., Renso, C., and Turini, F., Integrating Knowledge Representation and Reasoning in Geographical, 2004.
P. Mancarella, Raffaetà, A., Renso, C., and Turini, F., Integrating knowledge representation and reasoning in Geographical Information Systems, International Journal of Geographical Information Science, vol. 18, pp. 417-447, 2004.
D. Pedreschi, Ruggieri, S., and Turini, F., Integrating induction and deduction for finding evidence of discrimination, in ICAIL, 2009, pp. 157-166.
A. Sirbu, Ruskin, H. J., and Crane, M., Integrating heterogeneous gene expression data for gene regulatory network modelling., Theory Biosci, vol. 131, pp. 95-102, 2012.
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., Injecting Discrimination and Privacy Awareness Into Pattern Discovery, in 12th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, Brussels, Belgium, December 10, 2012, 2012, pp. 360–369.
L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Information diffusion in complex networks: The active/passive conundrum, in International Workshop on Complex Networks and their Applications, 2017.
P. Cintia, Furletti, B., and Renso, C., Inferring human activities from GPS tracks UrbComp, in Workshop at KDD 2013, Chicago USA, 2013.
M. Nanni, Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., The Inductive Constraint Programming Loop, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 303, 2017.
C. Bessiere, De Raedt, L., Guns, T., Kotthoff, L., Nanni, M., Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., The Inductive Constraint Programming Loop, IEEE Intelligent Systems, 2017.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., Individual Mobility Profiles: Methods and Application on Vehicle Sharing, in Twentieth Italian Symposium on Advanced Database Systems, {SEBD} 2012, Venice, Italy, June 24-27, 2012, Proceedings, 2012.
V. Verma, Betti, G., Natilli, M., and Lemmi, A., Indicators of social exclusion and poverty in Europe’s regions. 2005.
B. Furletti, Turini, F., Bellandi, A., Baglioni, M., and Pratesi, C., Improving the Business Plan Evaluation Process: the Role of Intangibles, Quality Technology & Quantitative Management, vol. 7, 2010.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., Implementations of Program Composition Operations, pp. 292–307, 1994.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., Implementations of Program Composition Operations, in PLILP, 1994, pp. 292-307.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., Implementations of Program Composition Operations, in PLILP, 1994, pp. 292-307.
M. Natilli and Romano, M. Francesca, The impact of wine and food tourism in Italy: an analysis of official statistical data at province level, in First European Conference on Wine and Food Tourism, 2011.
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., Identifying users profiles from mobile calls habits, in ACM SIGKDD International Workshop on Urban Computing, Beijing, China, 2012.
S. Citraro and Rossetti, G., Identifying and exploiting homogeneous communities in labeled networks, Applied Network Science, vol. 5, pp. 1–20, 2020.
M. Nanni, Kotthoff, L., Guidotti, R., O'Sullivan, B., and Pedreschi, D., ICON Loop Carpooling Show Case, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 310, 2017.

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