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O
P. Mukala, Cerone, A., and Turini, F., Ontolifloss: Ontology for learning processes in FLOSS communities, in International Conference on Software Engineering and Formal Methods, 2014.
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, Ontology Driven Knowledge Discovery, IMT - Lucca, Lucca - Italy, 2009.
M. Baglioni, de Macêdo, J. A. F., Renso, C., and Wachowicz, M., An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories, in ER Workshops, 2008, pp. 344-353.
M. Baglioni, Bellandi, A., Furletti, B., Spinsanti, L., and Turini, F., Ontology-Based Business Plan Classification, in EDOC, 2008, pp. 365-371.
F. Turini, Furletti, B., Baglioni, M., Spinsanti, L., and Bellandi, A., Ontology-Based Business Plan Classification, in Enterprise Distributed Object Computing Conference (EDOC), 2008.
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.
M. Baglioni, Giovannetti, E., Masserotti, M. V., Renso, C., and Spinsanti, L., Ontology-driven Querying of Geographical Databases, pp. 31–44, 2008.
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Pappalardo, L., Ruggieri, S., and Turini, F., Open the Black Box Data-Driven Explanation of Black Box Decision Systems, 2018.
D. Aquilino, Asirelli, P., Renso, C., and Turini, F., An Operator for Composing Deductive Databases with Theories of Constraints, in LPNMR, 1995, pp. 57-70.
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: models, extensions and external effects, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 363–401.
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.
M. Coscia, Rinzivillo, S., Pedreschi, D., and Giannotti, F., Optimal Spatial Resolution for the Analysis of Human Mobility, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Instanbul, Turkey, 2012.
D. Pennacchioli, Coscia, M., and Pedreschi, D., Overlap versus partition: marketing classification and customer profiling in complex networks of products, in Data engineering workshops (ICDEW), 2014 IEEE 30th international conference on, 2014.
P
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.
V. Grossi, Guns, T., Monreale, A., Nanni, M., and Nijssen, S., Partition-Based Clustering Using Constraint Optimization, in Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach, Springer International Publishing, 2016, pp. 282–299.
R. G. Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining, in PiLBA, 2008.
D. Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., The patterns of musical influence on the Last.Fm social network, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
V. Verma, Betti, G., Ballini, F., Natilli, M., and Galgani, S., Personal income in the gross and net forms: applications of the Siena Micro-Simulation Model (SM2), in conference of the Società Italiana di Economia, Demografia e Statistica (SIEDS), Campobasso, 2003.
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.

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