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F
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., Pisa Tourism fluxes Observatory: deriving mobility indicators from GSM call habits, in NetMob Conference 2013, 2013.
B. Furletti, Bellandi, A., Grossi, V., and Romei, A., Ontology-Driven Association Rule Extraction: A Case Study, in International Workshop on Contexts and Ontologies: Representation and Reasoning, Roskilde, Denmark, 2007.
B. Furletti, Bellandi, A., Grossi, V., and Romei, A., Ontological Support for Association Rule Mining, in IASTED International Conference on Artificial Intelligence and Applications (AIA), Innsbruck, Austria , 2008.
B. Furletti, Fornasari, F., and Montanari, C., AN EXTENSIBLE AND INTERACTIVE SOFTWARE AGENT FOR MOBILE DEVICES BASED ON GPS DATA, in IADIS International Conference Applied Computing, 2008.
B. Furletti, Turini, F., Bellandi, A., Baglioni, M., and Pratesi, C., Improving the Business Plan Evaluation Process: the Role of Intangibles, Quality Technology & Quantitative Management, vol. 7, 2010.
B. Furletti and Turini, F., Mining Influence Rules out of Ontologies, in International Conference on Software and Data Technologies (ICSOFT), Siviglia, Spagna, 2011.
B. Furletti and Turini, F., Knowledge Discovery in Ontologies, Intelligent Data Analysis, vol. 16, 2012.
B. Furletti, Gabrielli, L., Trasarti, R., Smoreda, Z., Vanhoof, M., and Ziemlicki, C., Detecting and understanding big events in big cities, in NetMob, Boston, 2015.
B. Furletti, Trasarti, R., Cintia, P., and Gabrielli, L., Discovering and Understanding City Events with Big Data: The Case of Rome, Information, vol. 8, p. 74, 2017.
B. Furletti, Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., and Pedreschi, D., Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.
B. Furletti, Trasarti, R., Gabrielli, L., Nanni, M., and Pedreschi, D., Big data analytics for smart mobility: a case study, in EDBT/ICDT 2014 Workshops - Mining Urban Data (MUD), Athens, Greece, 2014.
B. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., Identifying users profiles from mobile calls habits, in ACM SIGKDD International Workshop on Urban Computing, Beijing, China, 2012.
B. Furletti, Trasarti, R., Gabrielli, L., Rinzivillo, S., Pappalardo, L., and Giannotti, F., Analisi di Mobilita' con dati eterogenei, ISTI - CNR, Pisa, 2012.
A. S. Furtado, Fileto, R., and Renso, C., Assessing the Attractiveness of Places with Movement Data , Journal of Information and Data Management, vol. 4, 2013.
A. S. Furtado, Fileto, R., and Renso, C., M-Attract: Assessing Places Attractiveness by using Moving Objects Trajectories Data, in GEOINFO 2012 Brazilian Conference on Geographical Information Systems, 2012.
G
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., Use of Mobile Phone Data to Estimate Visitors Mobility Flows, in Software Engineering and Formal Methods, vol. 8938, Springer International Publishing, 2015, pp. 214-226.
L. Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., Use of mobile phone data to estimate visitors mobility flows, in Proceedings of MoKMaSD, 2014.
L. Gabrielli, Fadda, D., Rossetti, G., Nanni, M., Piccinini, L., Pedreschi, D., Giannotti, F., and Lattarulo, P., Discovering Mobility Functional Areas: A Mobility Data Analysis Approach, in International Workshop on Complex Networks, 2018.
L. Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., City users’ classification with mobile phone data, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
A. Gargantini, Riccobene, E., and Rinzivillo, S., Using Spin to Generate Tests from ASM Specifications, in Abstract State Machines, 2003, pp. 263-277.
F. Giannotti, Manco, G., and Turini, F., Towards a Logic Query Language for Data Mining, in Database Support for Data Mining Applications, 2004, pp. 76-94.
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., Integration of Deduction and Induction for Mining Supermarket Sales Data, in SEBD, 1999, pp. 117-131.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., Unveiling the complexity of human mobility by querying and mining massive trajectory data, VLDB J., vol. 20, pp. 695-719, 2011.
F. Giannotti and Manco, G., Querying Inductive Databases via Logic-Based User-Defined Aggregates, in PKDD, 1999, pp. 125-135.
F. Giannotti, Nanni, M., and Pedreschi, D., Efficient Mining of Temporally Annotated Sequences, in SDM, 2006.

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