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A
M. Natilli, Fadda, D., Rinzivillo, S., Pedreschi, D., and Licari, F., “Analysis and Visualization of Performance Indicators in University Admission Tests”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
B
E. Ntoutsi, Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. - E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., and others, “Bias in data-driven artificial intelligence systems—An introductory survey”, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “BiDAl: Big Data Analyzer for Cluster Traces”, in Informatika (BigSys workshop), 2014.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “A Big Data Analyzer for Large Trace Logs”, Computing, 2015.
C
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.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., “A constraint-based querying system for exploratory pattern discovery”, Inf. Syst., vol. 34, pp. 3-27, 2009.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., “A constraint-based querying system for exploratory pattern discovery”, Inf. Syst., vol. 34, pp. 3-27, 2009.
D
R. Ortale, Ritacco, E., Pelekisy, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., “DAEDALUS: A knowledge discovery analysis framework for movement data”, in SEBD, 2008, pp. 191-198.
R. Ortale, Ritacco, E., Pelekis, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., “The DAEDALUS framework: progressive querying and mining of movement data”, in GIS, 2008, p. 52.
C. Bessiere, De Raedt, L., Kotthoff, L., Nijssen, S., O'Sullivan, B., and Pedreschi, D., “Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.”. 2016.
R. Trasarti, Olteanu-Raimond, A. - M., Nanni, M., Couronné, T., Furletti, B., Giannotti, F., Smoreda, Z., and Ziemlicki, C., “Discovering urban and country dynamics from mobile phone data with spatial correlation patterns”, Telecommunications Policy, p. -, 2014.
F
L. Kotthoff, Nanni, M., Guidotti, R., and O'Sullivan, B., “Find Your Way Back: Mobility Profile Mining with Constraints”, in Principles and Practice of Constraint Programming, Cork, 2015.
G
M. Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., “Give more data, awareness and control to individual citizens, and they will help COVID-19 containment”, 2021.
I
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.
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.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., “On Interactive Pattern Mining from Relational Databases”, in KDID, 2006, pp. 42-62.
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.
K
R. Guidotti and Rossetti, G., ““Know Thyself” How Personal Music Tastes Shape the Last.Fm Online Social Network”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
P
F. Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., “Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks”, in ECML PKDD 2020 Workshops, Cham, 2020.
S
M. Batty, Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., and Portugali, Y., “Smart cities of the future”, European Physical Journal-Special Topics, vol. 214, p. 481, 2012.
G. Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, “(So) Big Data and the transformation of the city”, International Journal of Data Science and Analytics, 2020.
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.
T
M. Wachowicz, Ong, R., and Renso, C., “Tailoring Moving Patterns to Contexts”, in AGILE Conference, Leuven, Belgium, 2013, 2013.
R. Ong, Pinelli, F., Trasarti, R., Nanni, M., Renso, C., Rinzivillo, S., and Giannotti, F., “Traffic Jams Detection Using Flock Mining”, in ECML/PKDD (3), 2011, pp. 650-653.

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