There have been growing interests in privacy preserving data mining. Secure multiparty computation (SMC) is often used to give a solution.

When data is vertically partitioned scalar product is a feasible tool to securely discover frequent itemsets of association rule mining. However, there may be ...

Mar 24, 2023 · Bibliographic details on A Method of Security Improvement for Privacy Preserving Association Rule Mining over Vertically Partitioned Data.

This paper addresses the problem of association rule mining where transactions are distributed across sources. Each site holds some attributes of each ...

Four efficient methods namely secure sum, secure set union, secure size of set intersection and scalar product for privacy preserving data mining in distributed ...

... rule mining algorithm, which designed an RM-based secure scalar product method. This method only allows computation over private data but discloses no privacy.

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Slicing method can handle large dataset with multiple attributes with reduced accuracy and privacy loss compared to Generalization and Bucketization.

This paper addresses secure mining of association rules over horizontally partitioned data. The methods incorporate cryptographic techniques to minimize the ...

Association rule mining is one of the data mining algorithms. Where it provides a solution to determine rules from data. It is also an efficient way to discover ...