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Author Title [ Type(Desc)] Year
Conference Paper
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., Mobility data mining: discovering movement patterns from trajectory data, in Computational Transportation Science, 2010, pp. 7-10.
M. Berlingerio, Bicer, V., Botea, A., Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., Mobility Mining for Journey Planning in Rome, in Machine Learning and Knowledge Discovery in Databases, 2015.
R. Wagner, de Macêdo, J. A. F., Raffaetà, A., Renso, C., Roncato, A., and Trasarti, R., Mob-Warehouse: A semantic approach for mobility analysis with a Trajectory Data Ware- house, in SecoGIS 2013 - International Workshop on Semantic Aspects of GIS, Joint to ER conference 2013, Hong Kong, 2013.
M. Nanni, Trasarti, R., and Giannotti, F., Movement Behaviour Recognition for Water Activities, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.
G. Andrienko, Andrienko, N., Giannotti, F., Monreale, A., and Pedreschi, D., Movement data anonymity through generalization, in Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009.
M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., MP4-A Project: Mobility Planning For Africa, in In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013), Cambridge, USA, 2013.
M. Magnani, Monreale, A., Rossetti, G., and Giannotti, F., On multidimensional network measures, in SEDB 2013, 2013.
G. Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., NDlib: Studying Network Diffusion Dynamics, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.
P. Mancarella, Pedreschi, D., and Ruggieri, S., Negation as Failure through Abduction: Reasoning about Termination, in Computational Logic: Logic Programming and Beyond, 2002, pp. 240-272.
R. Trasarti, Bonchi, F., and Goethals, B., A new technique for sequential pattern mining under regular expressions, in SEBD, 2009, pp. 325-332.
F. Giannotti, Pedreschi, D., Saccà, D., and Zaniolo, C., Non-Determinism in Deductive Databases, in DOOD, 1991, pp. 129-146.
G. Rossetti, Pappalardo, L., and Rinzivillo, S., A novel approach to evaluate community detection algorithms on ground truth, in 7th Workshop on Complex Networks, Dijon, France, 2016.
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.
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.
F. Turini, Furletti, B., Baglioni, M., Spinsanti, L., and Bellandi, A., Ontology-Based Business Plan Classification, in Enterprise Distributed Object Computing Conference (EDOC), 2008.
M. Baglioni, Bellandi, A., Furletti, B., Spinsanti, L., and Turini, F., Ontology-Based Business Plan Classification, in EDOC, 2008, pp. 365-371.
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.
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. 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.
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.
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.
A. Sirbu and Babaoglu, O., Predicting System-level Power for a Hybrid Supercomputer, in 2016 International Conference on High Performance Computing Simulation (HPCS), Innsbruck, Austria, 2016.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., Pre-processing for Constrained Pattern Mining, in SEBD, 2003, pp. 519-530.