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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 and Characterizing Communities in Multidimensional Networks, in ASONAM, 2011, pp. 490-494.
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, Coscia, M., and Giannotti, F., Mining the Information Propagation in a Network, in SEBD, 2009, pp. 333-340.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Evolving networks: Eras and turning points, Intell. Data Anal., vol. 17, pp. 27–48, 2013.
M. Berlingerio, Bonchi, F., Chelazzi, S., Curcio, M., Giannotti, F., and Scatena, F., Mining HLA Patterns Explaining Liver Diseases, in CBMS, 2006, pp. 702-707.
M. Berlingerio, Bonchi, F., and Giannotti, F., Towards Constraint-Based Subgraph Mining, in SEBD, 2007, pp. 274-281.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Multidimensional networks: foundations of structural analysis, World Wide Web, vol. Volume 15 / 2012, 2012.
M. Berlingerio, Bonchi, F., Bringmann, B., and Gionis, A., Mining Graph Evolution Rules, in ECML/PKDD 2009, Bled, Slovenia, 2009, pp. 115-130.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., Time-Annotated Sequences for Medical Data Mining, in ICDM Workshops, 2007, pp. 133-138.
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., 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.
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.
G. Betti, Mulas, A., Natilli, M., Neri, L., and Verma, V., Comparative indicators of regional poverty and deprivation: Poland versus EU-15 Member States, in conference Comparative Economic Analysis of Households‟ Behaviour (CEAHB): Old and New EU Members, Warsaw University, 2005.
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., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., Data Mining for Intelligent Web Caching, in ITCC, 2001, pp. 599-603.
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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