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F. Giannotti, Nanni, M., Pedreschi, D., and Samaritani, F., “WebCat: Automatic Categorization of Web Search Results”, in SEBD, 2003, pp. 507-518.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web Log Data Warehousing and Mining for Intelligent Web Caching”, Data and Knowledge Engineering, 2001.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web log data warehousing and mining for intelligent web caching”, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web log data warehousing and mining for intelligent web caching”, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
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S. Rinzivillo, Pedreschi, D., Nanni, M., Giannotti, F., Andrienko, N., and Andrienko, G., “Visually driven analysis of movement data by progressive clustering”, Information Visualization, vol. 7, pp. 225-239, 2008.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., and Giannotti, F., “Visual Cluster Analysis of Large Collections of Trajectories”, in IEEE Visual Analytics Science and Tecnology (VAST 2009), 2009.
G. Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., and Pedreschi, D., “A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data”, in SSTD, 2009, pp. 432-435.
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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.
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.
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.
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M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., “Transportation Planning Based on {GSM} Traces: {A} Case Study on Ivory Coast”, in Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers, 2013.
F. Giannotti, Nanni, M., Pinelli, F., and Pedreschi, D., “Trajectory pattern mining”, in KDD, 2007, pp. 330-339.
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., “Trajectory pattern analysis for urban traffic”, in Second International Workshop on Computational Transportation Science, SEATTLE, USA, 2009, pp. 43-47.
R. Ong, Pinelli, F., Trasarti, R., Nanni, M., Renso, C., Rinzivillo, S., and Giannotti, F., “Traffic Jams Detection Using Flock Mining”, in ECML/PKDD (3), 2011, pp. 650-653.
R. Guidotti, Trasarti, R., Nanni, M., and Giannotti, F., “Towards user-centric data management: individual mobility analytics for collective services”, in Proceedings of the 4th {ACM} {SIGSPATIAL} International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015, 2015.
R. Guidotti, Trasarti, R., and Nanni, M., “{TOSCA:} two-steps clustering algorithm for personal locations detection”, in Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, 2015.
M. Nanni and Pedreschi, D., “Time-focused clustering of trajectories of moving objects”, J. Intell. Inf. Syst., vol. 27, pp. 267-289, 2006.
R. Guidotti, Trasarti, R., Nanni, M., Giannotti, F., and Pedreschi, D., “There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas”, in 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, 2017.
M. Berlingerio, Pinelli, F., Nanni, M., and Giannotti, F., “Temporal mining for interactive workflow data analysis”, in KDD, 2009, pp. 109-118.
M. Berlingerio, Giannotti, F., Nanni, M., and Pinelli, F., “Temporal analysis of process logs: a case study”, in SEBD, 2008, pp. 430-437.
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R. Ong, Nanni, M., Renso, C., Wachowicz, M., and Pedreschi, D., “A Study on Parameter Estimation for a Mining Flock Algorithm ”, in Mining Complex Patterns Workshop, ECML PKDD 2013, 2013.
M. Nanni, Kuijpers, B., Körner, C., May, M., and Pedreschi, D., “Spatiotemporal Data Mining”, in Mobility, Data Mining and Privacy, 2008, pp. 267-296.
M. Nanni, Raffaetà, A., Renso, C., and Turini, F., “Spatio-Temporal Data”, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.
S. Kisilevich, Mansmann, F., Nanni, M., and Rinzivillo, S., “Spatio-temporal clustering”, in Data Mining and Knowledge Discovery Handbook, 2010, pp. 855-874.

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