Identify Risky Rules to Reduce Side Effects in Association Rule Hiding

Author:

Cheng Peng1ORCID

Affiliation:

1. Southwest Univeristy, Chongqing, China

Funder

Southwest University

Publisher

ACM

Reference15 articles.

1. Rakesh Agrawal , Ramakrishnan Srikant , 1994 . Fast algorithms for mining association rules . In Proc. 20th int. conf. very large data bases, VLDB , Vol. 1215 . Morgan Kaufmann, San Francisco, CA, USA, 487--499. Rakesh Agrawal, Ramakrishnan Srikant, et al. 1994. Fast algorithms for mining association rules. In Proc. 20th int. conf. very large data bases, VLDB, Vol. 1215. Morgan Kaufmann, San Francisco, CA, USA, 487--499.

2. Dare to share: Protecting sensitive knowledge with data sanitization

3. BRBA: A Blocking-Based Association Rule Hiding Method

4. Privacy preservation through a greedy, distortion-based rule-hiding method

5. Aris Gkoulalas-Divanis , Vasileios Kagklis , and Elias C . Stavropoulos . 2019 . A Frequent Itemset Hiding Toolbox. In Algorithmic Aspects of Cloud Computing (2019), Yann Disser and Vassilios S. Verykios (Eds.). Springer International Publishing , Cham, 169--182. Aris Gkoulalas-Divanis, Vasileios Kagklis, and Elias C. Stavropoulos. 2019. A Frequent Itemset Hiding Toolbox. In Algorithmic Aspects of Cloud Computing (2019), Yann Disser and Vassilios S. Verykios (Eds.). Springer International Publishing, Cham, 169--182.

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