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Private-HERMES: a benchmark framework for privacy-preserving mobility data querying and mining methods.

, , , , , and . EDBT, page 598-601. ACM, (2012)

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Hiding sensitive knowledge without side effects., and . Knowl. Inf. Syst., 20 (3): 263-299 (2009)Privacy Issues in Association Rule Mining., , and . Frequent Pattern Mining, Springer, (2014)Introduction to Mobility Data Privacy., and . Handbook of Mobile Data Privacy, Springer, (2018)Efficient algorithms for identifying privacy vulnerabilities., and . ISC2, page 1-8. IEEE, (2015)Privacy protection in open information management platforms., and . IBM J. Res. Dev., (2014)A Survey of Association Rule Hiding Methods for Privacy., and . Privacy-Preserving Data Mining, volume 34 of Advances in Database Systems, Springer, (2008)A Hybrid Approach to Frequent Itemset Hiding., and . ICTAI (1), page 297-304. IEEE Computer Society, (2007)Summarization Algorithms for Record Linkage., , and . EDBT, page 73-84. OpenProceedings.org, (2018)Message from the program chairs., , and . NCA, page xiv. IEEE Computer Society, (2016)Exact Knowledge Hiding through Database Extension., and . IEEE Trans. Knowl. Data Eng., 21 (5): 699-713 (2009)