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Privacy-preserving data mining is discovering accurate patterns and rules without precise access to the original data. This paper focuses on privacy-preserving research in the situation of distributed decision-tree mining, and presents a decision-tree mining algorithm based on homomorphic encryption technology, which can get accurate mining effect in the premise of no sharing of private information...
Data mining over multiple data sources has become an important practical problem with applications in different areas. Although the data sources are willing to mine the union of their data, they donpsilat want to reveal any sensitive and private information to other sources due to competition or legal concerns. In this paper, we consider a scenario where data are vertically partitioned over more than...
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