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Conference Paper
G. Bachi, Coscia, M., Monreale, A., and Giannotti, F., Classifying Trust/Distrust Relationships in Online Social Networks, in 2012 International Conference on Privacy, Security, Risk and Trust, {PASSAT} 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, 2012, pp. 552–557.
R. Guidotti, Monreale, A., Nanni, M., Giannotti, F., and Pedreschi, D., Clustering Individual Transactional Data for Masses of Users, in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017.
A. Zanda, Körner, C., Giannotti, F., Schulz, D., and May, M., Clustering of German municipalities based on mobility characteristics: an overview of results, in GIS, 2008, p. 69.
F. Giannotti, Gozzi, C., and Manco, G., Clustering Transactional Data, in PKDD, 2002, pp. 175-187.
F. Giannotti, Gozzi, C., and Manco, G., Clustering Transactional Data, in SEBD, 2001, pp. 163-176.
G. Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., Community-centric analysis of user engagement in Skype social network, in International conference on Advances in Social Network Analysis and Mining, Paris, France, 2015.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Comparing General Mobility and Mobility by Car, in Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on, 2013.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., Complex Reasoning on Geographical Data, in SEBD, 2001, pp. 331-338.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., Complex Reasoning on Geographical Data, in SEBD, 2001, pp. 331-338.
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.
G. Amato, Giannotti, F., and Mainetto, G., Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation, in SEBD, 1994, pp. 329-349.
R. Ortale, Ritacco, E., Pelekisy, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., DAEDALUS: A knowledge discovery analysis framework for movement data, in SEBD, 2008, pp. 191-198.
R. Ortale, Ritacco, E., Pelekis, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., The DAEDALUS framework: progressive querying and mining of movement data, in GIS, 2008, p. 52.
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., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., Data Mining for Intelligent Web Caching, in ITCC, 2001, pp. 599-603.
G. Amato, Giannotti, F., and Mainetto, G., Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation, in VLDB, 1993, pp. 405-415.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Datalog++: a Basis for Active Object.Oriented Databases, in SEBD, 1997, pp. 325-340.
F. Giannotti, Manco, G., Nanni, M., and Pedreschi, D., Datalog++: A Basis for Active Object-Oriented Databases, in DOOD, 1997, pp. 283-301.
L. Corciulo, Giannotti, F., and Pedreschi, D., Datalog with Non-Deterministic Choice Computes NDB-PTIME, in DOOD, 1993, pp. 49-66.
F. Giannotti and Manco, G., Declarative Knowledge Extraction with Interactive User-Defined Aggregates, in FQAS, 2000, pp. 435-444.
M. E. Carboni, Giannotti, F., Foddai, V., and Pedreschi, D., Declarative Reconstruction of Updates in Logic Databases: A Compilative Approach, in SEBD, 1995, pp. 3-13.
M. E. Carboni, Foddai, V., Giannotti, F., and Pedreschi, D., Declarative Reconstruction of Updates in Logic Databases: a Compilative Approach, in GULP-PRODE, 1995, pp. 169-182.
F. Giannotti and Pedreschi, D., Declarative Semantics for Pruning Operators in Logic Programming, in LPNMR, 1990, pp. 27-37.
F. Giannotti, Manco, G., and Pedreschi, D., A Deductive Data Model for Representing and Querying Semistructured Data, in APPIA-GULP-PRODE, 1997, pp. 129-140.
M. Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., DEMON: a local-first discovery method for overlapping communities, in The 18th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '12, Beijing, China, August 12-16, 2012, 2012.

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