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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.
F. Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., SoBigData: Social Mining & Big Data Ecosystem, in Companion of the The Web Conference 2018 on The Web Conference 2018, 2018.
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.
S. Marchetti, Giusti, C., Pratesi, M., Salvati, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., Pappalardo, L., and Gabrielli, L., Small Area Model-Based Estimators Using Big Data Sources, Journal of Official Statistics, vol. 31, pp. 263–281, 2015.
L. Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter, in Conference of the Italian Association for Artificial Intelligence, 2017.
F. Giannotti, Pedreschi, D., and Zaniolo, C., Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases, J. Comput. Syst. Sci., vol. 62, pp. 15-42, 2001.
C. Parent, Spaccapietra, S., Renso, C., Andrienko, G., Andrienko, N., Bogorny, V., Damiani M L,, Gkoulalas-Divanis A,, de Macêdo, J. A. F., and Pelekis, N., Semantic Trajectories Modeling and Analysis, ACM Computing Surveys, vol. 45, 2013.
A. Baroni and Ruggieri, S., Segregation discovery in a social network of companies, Journal of Intelligent Information Systems, 2017.
A. Baroni and Ruggieri, S., Segregation Discovery in a Social Network of Companies, in International Symposium on Intelligent Data Analysis, 2015.
G. Rossetti, Berlingerio, M., and Giannotti, F., Scalable Link Prediction on Multidimensional Networks, in ICDM Workshops, Vancouver, 2011, pp. 979-986.
A. Lulli, Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., and Ricci, L., Scalable and flexible clustering solutions for mobile phone-based population indicators, I. J. Data Science and Analytics, vol. 4, pp. 285–299, 2017.
G. Andrienko, Andrienko, N., Hunter, C., Rinzivillo, S., and Wrobel, S., Scalable Analysis of Movement Data for Extracting and Exploring Significant Places, IEEE Transactions on Visualization and Computer Graphics, vol. 19, 2013.
R
M. Wachowicz, de Macêdo, J. A. F., Renso, C., and Ligtenberg, A., {The Role of a Multi-tier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility}, 2009.
A. Sirbu, Kerr, G., Crane, M., and Ruskin, H. J., RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering., PLoS One, vol. 7, p. e50986, 2012.
A. Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., A risk model for privacy in trajectory data, Journal of Trust Management, vol. 2, p. 9, 2015.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabasi, A. - L., Returners and explorers dichotomy in human mobility, Nat Commun, vol. 6, 2015.
R. Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Retrieving Points of Interest from Human Systematic Movements, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294–308.
D. Pennacchioli, Coscia, M., Rinzivillo, S., Giannotti, F., and Pedreschi, D., The retail market as a complex system, EPJ Data Science, vol. 3, pp. 1–27, 2014.
F. Bonchi, Giannotti, F., and Pedreschi, D., A Relational Query Primitive for Constraint-Based Pattern Mining, in Constraint-Based Mining and Inductive Databases, 2004, pp. 14-37.
A. Sirbu, Ruskin, H. J., and Crane, M., Regulatory network modelling: Correlation for structure and parameter optimisation, Proceedings of The IASTED Technology Conferences (International Conference on Computational Bioscience), Cambridge, Massachusetts, pp. 3473–3481, 2010.
R. Guidotti and Gabrielli, L., Recognizing Residents and Tourists with Retail Data Using Shopping Profiles, in International Conference on Smart Objects and Technologies for Social Good, 2017.
K. R. Apt and Pedreschi, D., Reasoning about Termination of Pure Prolog Programs, Inf. Comput., vol. 106, pp. 109-157, 1993.
P. Ayris, Berthou, J. - Y., Bruce, R., Lindstaedt, S., Monreale, A., Mons, B., Murayama, Y., Södergård, C., Tochtermann, K., and Wilkinson, R., Realising the European open science cloud. 2016.
C. Bertazzoni and Giannotti, F., RASP: A Resource Allocator for Software Projects, in IEA/AIE (Vol. 2), 1990, pp. 628-637.
M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche, in SEBD, 1996, pp. 73-90.

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