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M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Towards Discovery of Eras in Social Networks, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., Mining Clinical Data with a Temporal Dimension: A Case Study, in BIBM, 2007, pp. 429-436.
M. Berlingerio, Giannotti, F., Nanni, M., and Pinelli, F., Temporal analysis of process logs: a case study, in SEBD, 2008, pp. 430-437.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Foundations of Multidimensional Network Analysis, in ASONAM, 2011, pp. 485-489.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Temporal Dimension of the Information Propagation, in IDA, 2009, pp. 237-248.
M. Berlingerio, Coscia, M., and Giannotti, F., Finding and Characterizing Communities in Multidimensional Networks, in ASONAM, 2011, pp. 490-494.
M. Berlingerio, Pinelli, F., Nanni, M., and Giannotti, F., Temporal mining for interactive workflow data analysis, in KDD, 2009, pp. 109-118.
M. Berlingerio, Coscia, M., and Giannotti, F., Finding redundant and complementary communities in multidimensional networks, in CIKM, 2011, pp. 2181-2184.
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.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., As Time Goes by: Discovering Eras in Evolving Social Networks, in PAKDD (1), 2010, pp. 81-90.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Discovering Eras in Evolving Social Networks (Extended Abstract), in SEBD, 2010, pp. 78-85.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Temporal Dimension of the Information Propagation, in IDA, 2009, pp. 237-248.
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.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Information Propagation in a Network, in SEBD, 2009, pp. 333-340.
C. Bertazzoni and Giannotti, F., RASP: A Resource Allocator for Software Projects, in IEA/AIE (Vol. 2), 1990, pp. 628-637.
B. Bertolino, Mancarella, P., Meo, L., Nini, L., Pedreschi, D., and Turini, F., A Progress Report on the LML Project, in FGCS, 1988, pp. 675-684.
B. Bertolino, Meo, L., Pedreschi, D., and Turini, F., The Type System of LML. 1992, pp. 313-332.
C. Bessiere, De Raedt, L., Kotthoff, L., Nijssen, S., O'Sullivan, B., and Pedreschi, D., Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.. 2016.
C. Bessiere, De Raedt, L., Guns, T., Kotthoff, L., Nanni, M., Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., The Inductive Constraint Programming Loop, IEEE Intelligent Systems, 2017.
K. S. Boeg, Ira Assent,, and Magnani, M., Efficient GPU-based skyline computation, in DAMON@SIGMOD 2013, 2013.
V. Bogorny, Renso, C., de Aquino, A. R., de Siqueira, F. L., and Alvares, L. O., CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects , Transaction in GIS, 2013.
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., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in KDID, 2006, pp. 42-62.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery, in ICDE, 2006, p. 159.
F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., Data Mining for Intelligent Web Caching, in ITCC, 2001, pp. 599-603.

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