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B
A. Baroni and Ruggieri, S., “Segregation Discovery in a Social Network of Companies”, in International Symposium on Intelligent Data Analysis, 2015.
A. Baroni and Ruggieri, S., “Segregation discovery in a social network of companies”, Journal of Intelligent Information Systems, 2017.
A. Baroni, Conte, A., Patrignani, M., and Ruggieri, S., “Efficiently Clustering Very Large Attributed Graphs”, arXiv preprint arXiv:1703.08590, 2017.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., “Intensional Negation of Logic Programs: Examples and Implementation Techniques”, in TAPSOFT, Vol.2, 1987, pp. 96-110.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., “A Transformational Approach to Negation in Logic Programming”, J. Log. Program., vol. 8, pp. 201-228, 1990.
I. Barbosa, Casanova, M. A., Renso, C., and de Macêdo, J. A. F., “Average Speed Estimation For Road Networks Based On GPS Raw Trajectories”, in ICEIS Conference, 2013.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “BiDAl: Big Data Analyzer for Cluster Traces”, in Informatika (BigSys workshop), 2014.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “A Big Data Analyzer for Large Trace Logs”, Computing, 2015.
M. Baglioni, Bellandi, A., Furletti, B., Spinsanti, L., and Turini, F., “Ontology-Based Business Plan Classification”, in EDOC, 2008, pp. 365-371.
M. Baglioni, Furletti, B., and Turini, F., “DrC4.5: Improving C4.5 by means of Prior Knowledge”, in ACM Symposium on Applied Computing, Santa Fe, New Mexico, USA, 2005.
M. Baglioni, de Macêdo, J. A. F., Renso, C., Trasarti, R., and Wachowicz, M., “Towards Semantic Interpretation of Movement Behavior”, in AGILE Conf., 2009, pp. 271-288.
M. Baglioni, Furletti, B., and Turini, F., “A Tool for Economic Plans analysis based on expert knowledge and data mining techniques”, in IADIS International Conference Applied Computing 2006 , 2006.
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.
M. Baglioni, Giovannetti, E., Masserotti, M. V., Renso, C., and Spinsanti, L., “Ontology-driven Querying of Geographical Databases”, pp. 31–44, 2008.
M. Baglioni, de Macêdo, J. A. F., Renso, C., Trasarti, R., and Wachowicz, M., “Towards Semantic Interpretation of Movement Behavior”, in AGILE Conf., 2009, pp. 271-288.
M. Baglioni, Masserotti, M. V., Renso, C., and Spinsanti, L., “Building Geospatial Ontologies from Geographical Databases”, in GeoS, 2007, pp. 195-209.
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.
D. Bacciu, Bellandi, A., Furletti, B., Grossi, V., and Romei, A., “Discovering Strategic Behaviour in Multi- Agent Scenarios by Ontology-Driven Mining”, in Advances in Robotics, Automation and Control, 2008.
V. Bacarella, Giannotti, F., Nanni, M., and Pedreschi, D., “Discovery of ads web hosts through traffic data analysis”, in DMKD, 2004, pp. 76-81.
A
P. Ayris, Berthou, J. - Y., Bruce, R., Lindstaedt, S., Monreale, A., Mons, B., Murayama, Y., Södergård, C., Tochtermann, K., and Wilkinson, R., Realising the European open science cloud. 2016.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Anonymity and data mining”, Comput. Syst. Sci. Eng., vol. 20, 2005.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Blocking Anonymity Threats Raised by Frequent Itemset Mining”, in ICDM, 2005, pp. 561-564.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Towards low-perturbation anonymity preserving pattern discovery”, in SAC, 2006, pp. 588-592.
M. Atzori, Bonchi, F., Giannotti, F., Pedreschi, D., and Abul, O., “Privacy-Aware Knowledge Discovery from Location Data”, in MDM, 2007, pp. 283-287.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Anonymity preserving pattern discovery”, VLDB J., vol. 17, pp. 703-727, 2008.

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