Association Rule Mining to Secure Data in Horizontally Distributed Databases

Provided by: Aurora's International Journal of Computing
Topic: Big Data
Format: PDF
In the present era data mining is the most quickly growing area today that is used to extract important knowledge from large data sets or their collections but often these collections are divided among several clusters. In order to prevent end users to directly share data or files or any sort of information the authors consider it as the privacy liability of data. In this paper, the authors propose a protocol that tends to secure mining of association rules in horizontally distributed databases.

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