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2018

Amato G, Candela L, Castelli D, Esuli A, Falchi F, Gennaro C, et al.. How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. In A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years [Internet]. Springer International Publishing; 2018. pp. 287–306. https://link.springer.com/chapter/10.1007/978-3-319-61893-7_17
Guidotti R, Soldani J, Neri D, Brogi A. Explaining successful docker images using pattern mining analysis. In Federation of International Conferences on Software Technologies: Applications and Foundations [Internet]. Springer, Cham; 2018. https://link.springer.com/chapter/10.1007/978-3-030-04771-9_9
Milli L, Rossetti G, Pedreschi D, Giannotti F. Diffusive Phenomena in Dynamic Networks: a data-driven study. In International Conference on Complex Networks CompleNet [Internet]. Boston March 5-8 2018: Springer; 2018. https://link.springer.com/chapter/10.1007/978-3-319-73198-8_13
Giannotti F, Trasarti R, Bontcheva K, Grossi V. SoBigData: Social Mining & Big Data Ecosystem. In Companion of the The Web Conference 2018 on The Web Conference 2018 [Internet]. International World Wide Web Conferences Steering Committee; 2018. http://www.sobigdata.eu/sites/default/files/www%202018.pdf
Pollacci L, Guidotti R, Rossetti G, Giannotti F, Pedreschi D. The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis. In International Conference on Smart Objects and Technologies for Social Good [Internet]. Springer; 2018. https://link.springer.com/chapter/10.1007/978-3-319-76111-4_19
Gabrielli L, Fadda D, Rossetti G, Nanni M, Piccinini L, Pedreschi D, et al.. Discovering Mobility Functional Areas: A Mobility Data Analysis Approach. In International Workshop on Complex Networks [Internet]. Springer; 2018. https://link.springer.com/chapter/10.1007/978-3-319-73198-8_27
Pratesi F, Monreale A, Trasarti R, Giannotti F, Pedreschi D, Yanagihara T. PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems. Transactions on Data Privacy [Internet]. 2018;11. http://www.tdp.cat/issues16/tdp.a284a17.pdf
Rossi A, Pappalardo L, Cintia P, F Iaia M, Fernàndez J, Medina D. Effective injury forecasting in soccer with GPS training data and machine learning. PloS one [Internet]. 2018;13:e0201264. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201264
Guidotti R, Monreale A, Ruggieri S, Turini F, Giannotti F, Pedreschi D. A survey of methods for explaining black box models. ACM Computing Surveys (CSUR). 2018;51:93.
Guidotti R, Gabrielli L, Monreale A, Pedreschi D, Giannotti F. Discovering temporal regularities in retail customers’ shopping behavior. EPJ Data Science [Internet]. 2018;7:6. https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-018-0133-0

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