Optimization for MASK Scheme in Privacy Preserving Data Mining for Association Rules

Author:

Andruszkiewicz Piotr

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Bocca, J.B., Jarke, M., Zaniolo, C. (eds.) VLDB’94. Proceedings of 20th International Conference on Very Large Data Bases, Santiago de Chile, Chile, September 12-15, 1994, pp. 487–499. Morgan Kaufmann, San Francisco (1994)

2. Agrawal, S., Krishnan, V., Haritsa, J.R.: On addressing efficiency concerns in privacy preserving data mining. CoRR, cs.DB/0310038 (2003)

3. Atallah, M.J., Bertino, E., Elmagarmid, A.K., Ibrahim, M., Verykios, V.S.: Disclosure limitation of sensitive rules. In: Proceedings of the IEEE Knowledge and Data Engineering Workshop, pp. 45–52. IEEE Computer Society Press, Los Alamitos (1999)

4. Lecture Notes in Computer Science;E. Dasseni,2001

5. Evfimievski, A., Srikant, R., Agrawal, R., Gehrke, J.: Privacy preserving mining of association rules. In: KDD ’02. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 217–228. ACM Press, New York (2002)

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