Sequencing Sub-Clusters Using Greedy Method for Privacy Preservation in Data Mining

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Provided by: Sathish Valluri
Topic: Security
Format: PDF
Privacy preservation in data mining is one of the popular methodologies to hold back the sensitive data from the external attackers, when data is given for data mining. The people are antipathy to share their private information, so this research area becomes necessary and crucial. There are various existing methods available to preserve the data like perturbation, anonymization, randomization etc.; each method has its own advantages and disadvantages. The trade-off between security and utility of data should be handled with standardizing methods for the PPDM. In this paper the authors have explained a method based on sequencing of sub-cluster using greedy method.
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