Categorization and Rating the Privacy Maintaining Data Mining Proficiencies by Applying a Data Change - Based Model

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Provided by: The International Fellowship of Christians and Jews
Topic: Data Management
Format: PDF
In recent years, the data mining proficiencies have met a dangerous challenge due to the altered regarding and concerns of the privacy that is, defending the secrecy of the vital and sore data. Different proficiencies and algorithms have been already demonstrated for privacy preserving data mining, which could be assorted in three common approaches: data modification approach, data sanitization approach and secure multi-party calculation approach. This paper describes a data modification - based framework for categorization and valuation of the privacy maintaining data mining techniques. Based on the authors model the proficiencies are divided into two major groups, namely perturbation approach and anonymization approach.
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