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F. Giannotti, Manco, G., and Wijsen, J., Logical Languages for Data Mining, in Logics for Emerging Applications of Databases, 2003, pp. 325-361.
P
F. Pratesi, Monreale, A., Wang, H. Wendy, Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., Privacy-Aware Distributed Mobility Data Analytics, in SEBD, Roccella Jonica, 2013.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, Privacy-preserving data mining from outsourced databases., in the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.
A. Monreale, Wang, H. Wendy, Pratesi, F., Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., Privacy-Preserving Distributed Movement Data Aggregation, in Geographic Information Science at the Heart of Europe, D. Vandenbroucke, Bucher, B., and Crompvoets, J., Eds. Springer International Publishing, 2013, pp. 225-245.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases, IEEE Systems Journal, 2013.
A. Monreale and Wang, H. Wendy, Privacy-Preserving Outsourcing of Data Mining, in 40th IEEE Annual Computer Software and Applications Conference, {COMPSAC} Workshops 2016, Atlanta, GA, USA, June 10-14, 2016, Atlanta, GA, USA, 2016.
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P. Eirinakis, Ruggieri, S., Subramani, K., and Wojciechowski, P., On quantified linear implications, Annals of Mathematics and Artificial Intelligence, vol. 71, pp. 301–325, 2014.

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