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Author [ Title(Desc)] Type Year
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I
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., Integration of Deduction and Induction for Mining Supermarket Sales Data, in SEBD, 1999, pp. 117-131.
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.
G. Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., Interaction Prediction in Dynamic Networks exploiting Community Discovery, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.
C. Lucchese, Bonchi, F., Giannotti, F., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in SEBD, 2006, pp. 329-338.
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.
S. Mascetti, Ricci, A., and Ruggieri, S., Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society, Artificial Intelligence and Law, vol. 22, pp. 109–111, 2014.
S. Ruggieri, Introduction to the special issue on Artificial Intelligence for Society and Economy, Intelligenza Artificiale, vol. 9, pp. 23–23, 2015.
R. Guidotti, Monreale, A., and Cariaggi, L., Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.
V. M. de Lira, Rinzivillo, S., Renso, C., Times, V. C., and Tedesco, P. {\'ı}ciaC. A. R., Investigating semantic regularity of human mobility lifestyle, in 18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014, Porto, Portugal, 2014, pp. 314–317.
F. Giannotti, Invited talk: Logical Data Mining Query Languages, in KDID, 2002, p. 1.
C. Alfonsi, Scarabottolo, N., Pedreschi, D., and Simi, M., IT4PS: information technology for problem solving, in ITiCSE, 2004, p. 241.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., The italian music superdiversity, Multimedia Tools and Applications, pp. 1–23, 2018.
L. Passaro, Pollacci, L., and Lenci, A., ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon, Second Italian Conference on Computational Linguistics CLiC-it 2015, vol. II, 2 vol. 2015.
K
M. Nanni and Trasarti, R., K-BestMatch Reconstruction and Comparison of Trajectory Data, in ICDM Workshops, 2009, pp. 610-615.
M. Nanni and Trasarti, R., K-BestMatch Reconstruction and Comparison of Trajectory Data, in ICDM Workshops, 2009, pp. 610-615.
S. Ruggieri and Turini, F., A KDD process for discrimination discovery, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2016.
S. Rinzivillo, Turini, F., Bogorny, V., Körner, C., Kuijpers, B., and May, M., Knowledge Discovery from Geographical Data, in Mobility, Data Mining and Privacy, 2008, pp. 243-265.
S. Rinzivillo and Turini, F., Knowledge discovery from spatial transactions, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.
J. - F. Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings, Lecture Notes in Computer Science, vol. 3202. Springer, 2004.
B. Furletti and Turini, F., Knowledge Discovery in Ontologies, Intelligent Data Analysis, vol. 16, 2012.

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