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Divide and Conquer: Targeted Adversary Detection using Proximity and Dependency.

, , , , и . ICBK, стр. 125-132. IEEE, (2021)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

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Injecting purpose and trust into data anonymisation., , и . CIKM, стр. 1541-1544. ACM, (2009)Mining Differential Dependencies: A Subspace Clustering Approach., , , и . ADC, том 8506 из Lecture Notes in Computer Science, стр. 50-61. Springer, (2014)Analysis of Breast Feeding Data Using Data Mining Methods., , , , , и . AusDM, том 61 из CRPIT, стр. 47-52. Australian Computer Society, (2006)Efficient Mining of Non-derivable Emerging Patterns., , и . ADC, том 9093 из Lecture Notes in Computer Science, стр. 244-256. Springer, (2015)Learning Markov Blankets From Multiple Interventional Data Sets., , и . IEEE Trans. Neural Networks Learn. Syst., 31 (6): 2005-2019 (2020)Classification Using Multiple and Negative Target Rules., и . KES (1), том 4251 из Lecture Notes in Computer Science, стр. 212-219. Springer, (2006)Building a Generic Graph-based Descriptor Set for use in Drug Discovery., , , и . AusDM, том 101 из CRPIT, стр. 167-174. Australian Computer Society, (2009)(alpha, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing., , , и . KDD, стр. 754-759. ACM, (2006)A relative privacy model for effective privacy preservation in transactional data., , , , и . Concurr. Comput. Pract. Exp., (2019)Multi-Label Feature Selection Via Adaptive Label Correlation Estimation., , , , , , и . ACM Trans. Knowl. Discov. Data, 17 (9): 134:1-134:28 (ноября 2023)