Privacy-Preserving Mining of Association Rules for Horizontally Distributed Databases Based on FP-Tree

Author:

Jin Yaoan,Su Chunhua,Ruan Na,Jia Weijia

Publisher

Springer International Publishing

Reference18 articles.

1. Cheung, D.W., Han, J., Ng, V.T., et al.: A fast distributed algorithm for mining association rules. In: IEEE International Conference on Parallel, Distributed Information Systems, pp. 31–42 (2011)

2. Han, J., Pei, J., Yin, Y., et al.: Mining frequent patterns without candidate generation: a frequent-pattern tree approach. Data Min. Knowl. Discov. 8(1), 53–87 (2004)

3. Kantarcioglu, M., Clifton, C.: Privacy-preserving distributed mining of association rules on horizontally partitioned data. IEEE Trans. Knowl. Data Eng. 9, 1026–1037 (2004)

4. Tassa, T.: Secure mining of association rules in horizontally distributed databases. IEEE Trans. Knowl. Data Eng. 26(4), 970–983 (2014)

5. Kotsiantis, S., Kanellopoulos, D.: Association rules mining: a recent overview. GESTS Int. Trans. Comput. Sci. Eng. 32(1), 71–82 (2006)

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