Protection of Privacy in Distributed Databases Using Clustering

Provided by: International Journal of Modern Engineering Research (IJMER)
Topic: Security
Format: PDF
Clustering is the technique which discovers groups over huge amount of data, based on similarities, regardless of their structure (multi-dimensional or two dimensional). The authors applied an algorithm (DSOM) to cluster distributed datasets, based on Self-Organizing Maps (SOM) and extends this approach presenting a strategy for efficient cluster analysis in distributed databases using SOM and K-means. The proposed strategy applies SOM algorithm separately in each distributed dataset, relative to database horizontal partitions, to obtain a representative subset of each local dataset.

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