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Improving Scalability of Inductive Logic Programming via Pruning and Best-Effort Optimisation.

, , and . CoRR, (2017)

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SPRINGL 2010 workshop report: The Third ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS (San Jose, California - November 2, 2010)., and . ACM SIGSPATIAL Special, 3 (1): 18-19 (2011)P2-CTM: privacy preserving collaborative traffic monitoring., , and . SPRINGL, page 55-59. ACM, (2010)Using Unknowns to Prevent Discovery of Association Rules., , and . SIGMOD Rec., 30 (4): 45-54 (2001)State-of-the-art in privacy preserving data mining., , , , , and . SIGMOD Rec., 33 (1): 50-57 (2004)Association Rule Hiding., , , , and . IEEE Trans. Knowl. Data Eng., 16 (4): 434-447 (2004)Suppressing microdata to prevent classification based inference., and . VLDB J., 19 (3): 385-410 (2010)Sensitivity Analysis for Non-Interactive Differential Privacy: Bounds and Efficient Algorithms., , and . IEEE Trans. Dependable Secur. Comput., 17 (1): 194-207 (2020)Automated construction of fuzzy event sets and its application to active databases., and . IEEE Trans. Fuzzy Syst., 9 (3): 450-460 (2001)Processing count queries over event streams at multiple time granularities., , and . Inf. Sci., 176 (14): 2066-2096 (2006)Recent advances in preserving privacy when mining data., , and . Data Knowl. Eng., 65 (1): 1-4 (2008)