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Clustering for Privacy in Social Networks by Chaitali Narayane is a document available to read on EtoBox.

What is Clustering for Privacy in Social Networks about?

The document proposes a clustering-based approach for privacy preservation on social networks. It discusses existing approaches to privacy preservation including clustering and graph-based anonymization. The proposed system performs various clustering techniques like K-Member, Greedy K-Member, c-means, one-pass k-means and k-means clustering with generalization and suppression on a dataset to anonymize social network data. The system is implemented in Python and evaluates the clustering results using the si

Author

Chaitali Narayane

Language

EN