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Distributed Data Access Control Algorithm Using Mining Association Rules

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Executive Summary

In this paper, the authors present a new algorithm called Distributed data access control algorithm using association rules in large database respectively. The large amounts of data, the high scalability of distributed systems, and the easy partition and distribution of a centralized database, it is important to investigate efficient methods for distributed mining of generalized association rules. This paper discloses some interesting relationships between locally and globally large itemsets. The proposed algorithm, which distributes a data with various databases and participate in a network using mining association rules. In this paper, efficient algorithm for mining generalized association rules in distributed database has been proposed and is based on FDM algorithm. Concepts of data mining with distribution law can improve the finite set.

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