May 2, 2016 · In this paper, we focus on privacy-preserving mining on vertically partitioned databases. In such a scenario, data owners wish to learn the ...
ABSTRACT. Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining.
Jan 10, 2024 · Our solutions are designed for outsourced databases that allow multiple data owners to efficiently share their data securely without ...
This paper designs an efficient homomorphic encryption scheme and a secure comparison scheme, which is used to build an association rule mining solution and ...
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[PDF] Privacy Preserving Mining on Vertically Partitioned Database
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Association rule is one of the important analysis techniques that play a vital role in this paper. This paper is built on the. Privacy Preserving mining on ...
proposed a privacy-preserving outsourced association rule mining ... rules on horizontally partitioned data. IEEE ... association rule mining on vertically ...
In this paper, we focus on privacy- preserving mining on vertically partitioned databases. In such a scenario, data owners wish to learn the association rules.
Privacy considerations often constrain data mining projects. This paper addresses the problem of association rule mining where transactions are distributed ...
Clifton, “Privacy preserving association rule mining in vertically partitioned data,” in Proc. SIGKDD, 2002, pp. 639–644. [3] B. Rozenberg and E. Gudes ...
Rule Mining on Vertically Partitioned Databases ... proposed for privacy-preserving mining on vertically ... mining in vertically partitioned data,” in Proc.