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F. Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., Synthetic generation of cellular network positioning data, in GIS, 2005, pp. 12-20.
F. Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., Synthetic generation of cellular network positioning data, in GIS, 2005, pp. 12-20.
V. Ambriola, Giannotti, F., Pedreschi, D., and Turini, F., Symbolic Semantics and Program Reduction, IEEE Trans. Software Eng., vol. 11, pp. 784-794, 1985.
F. Giannotti, Matteucci, A., Pedreschi, D., and Turini, F., Symbolic Evaluation with Structural Recursive Symbolic Constants, Sci. Comput. Program., vol. 9, pp. 161-177, 1987.
V. Grossi, Romei, A., and Turini, F., Survey on using constraints in data mining, Data Mining and Knowledge Discovery, vol. 31, pp. 424–464, 2017.
R. Guidotti, Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., and Pedreschi, D., A survey of methods for explaining black box models, ACM Computing Surveys (CSUR), vol. 51, p. 93, 2018.
G. Rossetti, Guidotti, R., Miliou, I., Pedreschi, D., and Giannotti, F., A supervised approach for intra-/inter-community interaction prediction in dynamic social networks, Social Network Analysis and Mining, vol. 6, p. 86, 2016.
R. Ong, Nanni, M., Renso, C., Wachowicz, M., and Pedreschi, D., A Study on Parameter Estimation for a Mining Flock Algorithm , in Mining Complex Patterns Workshop, ECML PKDD 2013, 2013.
G. Amato, Giannotti, F., and Mainetto, G., Static Analysis of Transactions for Conservative Multigranularity Locking, in DBPL, 1997, pp. 413-430.
G. Amato, Giannotti, F., and Mainetto, G., Static Analysis of Transactions: an Experiment of Abstract Interpretation Usage, in FMLDO, 1993, pp. 19-29.
A. Sirbu, Ruskin, H. J., and Crane, M., Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role, in Evolutionary Algorithms, InTech, 2011.
F. Giannotti, Manco, G., and Turini, F., Specifying Mining Algorithms with Iterative User-Defined Aggregates, IEEE Trans. Knowl. Data Eng., vol. 16, pp. 1232-1246, 2004.
F. Giannotti, Manco, G., and Turini, F., Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study, in PKDD, 2001, pp. 128-139.
M. Fiore, Shafiq, Z., Smoreda, Z., Stanica, R., and Trasarti, R., Special Issue on Mobile Traffic Analytics, Computer Communications, vol. 95, pp. 1–2, 2016.
M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., Spatio-Temporal Reasoning with LDLT: First Steps Towards a Deductive System for Geographical Applications, in DDLP, 1996, pp. 135-151.
M. Nanni, Kuijpers, B., Körner, C., May, M., and Pedreschi, D., Spatiotemporal Data Mining, in Mobility, Data Mining and Privacy, 2008, pp. 267-296.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., Spatio-Temporal Data, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.
S. Kisilevich, Mansmann, F., Nanni, M., and Rinzivillo, S., Spatio-temporal clustering, in Data Mining and Knowledge Discovery Handbook, 2010, pp. 855-874.
V. Cozza, Messina, A., Montesi, D., Arietta, L., and Magnani, M., Spatio temporal keyword-queries in Social Networs, 2013.
M. Wachowicz and Renso, C., Spatio and Spatio-temporal Reasoning and Decision Support Tools, in Entry at Encyclopedia of Social Network Analysis and Mining, Springer., 2013.
M. Coscia, Rinzivillo, S., Giannotti, F., and Pedreschi, D., Spatial and Temporal Evaluation of Network-based Analysis of Human Mobility, Social Network Analysis and Mining, vol. to appear, 2013.
M. Setzu and Atzori, M., SPARQL Queries over Source Code, in 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 2016.
R. Guidotti, Sassi, A., Berlingerio, M., Pascale, A., and Ghaddar, B., Social or green? A data-driven approach for more enjoyable carpooling, in Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, 2015.
M. Coscia, Giannotti, F., and Pensa, R. G., Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography, in ASONAM, 2009, pp. 279-283.

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