Publications

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Author Title [ Type(Desc)] Year
Journal Article
D. Pedreschi and Subrahmanian, V. S., Non-determinism in Deductive Databases - Preface, Ann. Math. Artif. Intell., vol. 19, pp. 1-2, 1997.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Nondeterministic, Nonmonotonic Logic Databases, IEEE Trans. Knowl. Data Eng., vol. 13, pp. 813-823, 2001.
M. Baglioni, Giovannetti, E., Masserotti, M. V., Renso, C., and Spinsanti, L., Ontology-driven Querying of Geographical Databases, pp. 31–44, 2008.
D. Aquilino, Asirelli, P., Renso, C., and Turini, F., An Operator for Composing Deductive Databases with Theories of Constraints, pp. 57–70, 1995.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., Opinion dynamics with disagreement and modulated information, Journal of Statistical Physics, pp. 1–20, 2013.
A. Sirbu, Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V. D. P., Stumme, G., Theunis, J., Tria, F., and Van den Bossche, J., Participatory Patterns in an International Air Quality Monitoring Initiative., PLoS One, vol. 10, p. e0136763, 2015.
R. Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences, IEEE Transactions on Knowledge and Data Engineering, 2018.
A. Monreale, Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D., Privacy-by-Design in Big Data Analytics and Social Mining, EPJ Data Science, vol. 10, 2014.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases, IEEE Systems Journal, 2013.
M. Coscia, Pennacchioli, D., and Giannotti, F., Product assortment and customer mobility, EPJ Data Science, vol. 4, pp. 1–18, 2015.
F. Giannotti, Greco, S., Saccà, D., and Zaniolo, C., Programming with Non-Determinism in Deductive Databases, Ann. Math. Artif. Intell., vol. 19, pp. 97-125, 1997.
F. Pratesi, Monreale, A., Trasarti, R., Giannotti, F., Pedreschi, D., and Yanagihara, T., PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems, Transactions on Data Privacy, vol. 11, 2018.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., The pursuit of hubbiness: Analysis of hubs in large multidimensional networks, J. Comput. Science, vol. 2, pp. 223-237, 2011.
P. Eirinakis, Ruggieri, S., Subramani, K., and Wojciechowski, P., On quantified linear implications, Annals of Mathematics and Artificial Intelligence, vol. 71, pp. 301–325, 2014.
L. Pappalardo and Cintia, P., Quantifying the relation between performance and success in soccer, Advances in Complex Systems, p. 1750014, 2017.
R. Trasarti, Giannotti, F., Nanni, M., Pedreschi, D., and Renso, C., A Query Language for Mobility Data Mining, IJDWM, vol. 7, pp. 24-45, 2011.
K. R. Apt and Pedreschi, D., Reasoning about Termination of Pure Prolog Programs, Inf. Comput., vol. 106, pp. 109-157, 1993.
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.
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.
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.
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.
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.
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.
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.
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.

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