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G. Amato, Giannotti, F., and Mainetto, G., “Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation”, in SEBD, 1994, pp. 329-349.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., “ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery”, in ICDE, 2006, p. 159.
P. Resce, Vorwerk, L., Han, Z., Cornacchia, G., Alamdari, O. Isfahani, Nanni, M., Pappalardo, L., Weimer, D., and Liu, Y., “Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)”, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
G. Rossetti, Citraro, S., and Milli, L., “Conformity: a Path-Aware Homophily measure for Node-Attributed Networks”, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.
G. Rossetti, Citraro, S., and Milli, L., “Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks”, arXiv preprint arXiv:2012.05195, 2020.
S. Ruggieri, Eirinakis, P., Subramani, K., and Wojciechowski, P., “On the complexity of quantified linear systems”, Theoretical Computer Science, vol. 518, pp. 128–134, 2014.
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.
S. Citraro and Rossetti, G., “A complex network approach to semantic spaces: How meaning organizes itself”, in SEBD, 2019.
P. Mancarella, Martini, S., and Pedreschi, D., “Complete Logic Programs with Domain-Closure Axiom”, J. Log. Program., vol. 5, pp. 263-276, 1988.
A. Sirbu, Ruskin, H. J., and Crane, M., “Comparison of evolutionary algorithms in gene regulatory network model inference.”, BMC Bioinformatics, vol. 11, p. 59, 2010.
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. Betti, Mulas, A., Natilli, M., Neri, L., and Verma, V., “Comparative indicators of regional poverty and deprivation: Poland versus EU-15 Member States”, in conference Comparative Economic Analysis of Households‟ Behaviour (CEAHB): Old and New EU Members, Warsaw University, 2005.
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.
L. Milli and Rossetti, G., “Community-Aware Content Diffusion: Embeddednes and Permeability”, in International Conference on Complex Networks and Their Applications, 2019.
G. Rossetti and Cazabet, R., “Community Discovery in Dynamic Networks: a Survey”, Journal ACM Computing Surveys, vol. 51, 2018.
V. M. de Lira, Times, V. C., Renso, C., and Rinzivillo, S., “ComeWithMe: An Activity-Oriented Carpooling Approach”, in 2015 {IEEE} 18th International Conference on Intelligent Transportation Systems, 2015.
I. Brilhante, Berlingerio, M., Trasarti, R., Renso, C., de Macêdo, J. A. F., and Casanova, M. A., “ComeTogether: Discovering Communities of Places in Mobility Data”, MDM 2012. pp. 268-273, 2012.
L. Passaro, Lebani, G. E., Pollacci, L., Chersoni, E., and Lenci, A., “The CoLing Lab system for Sentiment Polarity Classification of tweets”, First Italian Conference on Computational Linguistics CLiC-it 2014 & Fourth International Workshop EVALITA 2014, vol. II, 2 vol. 2014.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., “Cohesion, consensus and extreme information in opinion dynamics”, Advances in Complex Systems, vol. 16, p. 1350035, 2013.
S. Marina Joseph, Citraro, S., Morini, V., Rossetti, G., and Stella, M., “Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities”, arXiv preprint arXiv:2110.15269, 2021.
F. Giannotti, Gozzi, C., and Manco, G., “Clustering Transactional Data”, in SEBD, 2001, pp. 163-176.
F. Giannotti, Gozzi, C., and Manco, G., “Clustering Transactional Data”, in PKDD, 2002, pp. 175-187.
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.

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