Business Intelligence

Data Mining and Collusion Resistance

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Executive Summary

The field of data mining provides techniques for new knowledge discovery - finding patterns in the data set such as classifiers and association rules that may be useful to the data miner. Privacy preserving data mining seeks to allow users to share data while ensuring individual and corporate privacy concerns are addressed. Recently algorithms have been introduced to maintain privacy even when all but two parties collude. This paper builds upon previous algorithms, putting cycle-partitioned secure sum into the mathematical framework of edge-disjoint Hamiltonian cycles.

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