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Conference Paper
R. Liu, Wang, W. Hui, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., AUDIO: An Integrity ıt Audi}ting Framework of ıt O}utlier-Mining-as-a-Service Systems, in ECML/PKDD (2), 2012.
D. Ceccarelli, Lucchese, C., Orlando, S., Perego, R., and Silvestri, F., Caching query-biased snippets for efficient retrieval, in Proceedings of the 14th International Conference on Extending Database Technology, New York, NY, USA, 2011.
R. Baraglia, Morales, G. De Francis, and Lucchese, C., Document Similarity Self-Join with MapReduce, in Proceedings of the 2010 IEEE International Conference on Data Mining, 2010.
M. La Gala, Arnaboldi, V., Conti, M., and Passarella, A., Ego-net Digger: a New Way to Study Ego Networks in Online Social Networks, in First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research (ACM HotSocial 2012), 2012.
G. De Francis Morales, Gionis, A., and Lucchese, C., From chatter to headlines: harnessing the real-time web for personalized news recommendation, in Proceedings of the fifth ACM international conference on Web search and data mining, New York, NY, USA, 2012.
C. Lucchese, Perego, R., Silvestri, F., Vahabi, H., and Venturini, R., How random walks can help tourism, in Proceedings of the 34th European conference on Advances in Information Retrieval, 2012.
C. Lucchese, Orlando, S., Perego, R., Silvestri, F., and Tolomei, G., Identifying task-based sessions in search engine query logs, in Proceedings of the fourth ACM international conference on Web search and data mining, New York, NY, USA, 2011.
D. Ceccarelli, Lucchese, C., Orlando, S., Perego, R., and Trani, S., Learning relatedness measures for entity linking, in ACM CIKM ’13, 2013.
R. Blanco, Ceccarelli, D., Lucchese, C., Perego, R., and Silvestri, F., You should read this! let me explain you why: explaining news recommendations to users, in Proceedings of the 21st ACM international conference on Information and knowledge management, New York, NY, USA, 2012.
Journal Article
M. Batko, Falchi, F., Lucchese, C., Novak, D., Perego, R., Rabitti, F., Sedmidubsky, J., and Zezula, P., Building a web-scale image similarity search system, Multimedia Tools Appl., vol. 47, pp. 599–629, 2010.
C. Lucchese, Orlando, S., Perego, R., Silvestri, F., and Tolomei, G., Discovering tasks from search engine query logs, ACM Trans. Inf. Syst., vol. 31, pp. 14:1–14:43, 2013.
N. Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., An ethico-legal framework for social data science, 2020.
F. Giannotti, Pedreschi, D., Pentland, A., Lukowicz, P., Kossmann, D., Crowley, J. L., and Helbing, D., A planetary nervous system for social mining and collective awareness, CoRR, vol. abs/1304.3700, 2013.
F. Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H., Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases, IEEE Systems Journal, 2013.
C. Lucchese, Vlachos, M., Rajan, D., and Yu, P. S., Rights protection of trajectory datasets with nearest-neighbor preservation, The VLDB Journal, vol. 19, pp. 531–556, 2010.
F. Falchi, Lucchese, C., Orlando, S., Perego, R., and Rabitti, F., Similarity caching in large-scale image retrieval, Information Processing & Management, vol. 48, pp. 803–818, 2012.