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Exploring Real Mobility Data with M-Atlas.

, , , , , , , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 624-627. Springer, (2010)

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Movement Data Anonymity through Generalization., , , , , , and . Trans. Data Privacy, 3 (2): 91-121 (2010)Fast Estimation of Privacy Risk in Human Mobility Data., , , and . SAFECOMP Workshops, volume 10489 of Lecture Notes in Computer Science, page 415-426. Springer, (2017)Location prediction within the mobility data analysis environment DAEDALUS., , , and . MobiQuitous, ICST / ACM, (2008)Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases., , , , and . SEBD, page 233-242. Edizioni Libreria Progetto, Padova, Italy, (2012)Explainable AI.. CCIA, volume 319 of Frontiers in Artificial Intelligence and Applications, page 5. IOS Press, (2019)Multidimensional networks: foundations of structural analysis., , , , and . World Wide Web, 16 (5-6): 567-593 (2013)Anonymity: A Comparison Between the Legal and Computer Science Perspectives., , , and . European Data Protection, Springer, (2013)Mobility Data and Privacy., , and . Mobility Data, Cambridge University Press, (2013)Local Rule-Based Explanations of Black Box Decision Systems., , , , , and . CoRR, (2018)Clustering Individual Transactional Data for Masses of Users., , , , and . KDD, page 195-204. ACM, (2017)