Privacy Preserving and Secure Mining of Association Rules in Distributed Data Base

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Data Management
Format: PDF
Association rule mining is an active data mining research area and most ARM algorithms cater to a centralized environment. Centralized data mining to discover useful patterns in distributed databases isn't always feasible because merging data sets from different sites incurs huge network communication costs. In this paper, an improved algorithm based on good performance level for data mining is being proposed. Local site also finds a centre site to manage every message exchanged to obtain all globally frequent item sets. It also reduces the time of scan of partition database. The problem of computing efficient anonymizations of partitioned databases.
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