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Data Mining and Collusion Resistance

Category: Data Management

Tags: data mining, data

Overview 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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Publisher
Bowling Green State University
File Format
PDF
Date Published
Aug 29, 2009
Format
White Papers
Topics
Knowledge and Data Management, Data Mining - Analysis

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