Privacy Preservation of Data in Data Mining

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Provided by: International Journal of Engineering Research and Applications (IJERA)
Topic: Big Data
Format: PDF
For data privacy against an un-trusted party, anonymization is a widely used technique capable of preserving attribute values and supporting data mining algorithms. The technique deals with anonymization methods for users in a domain-driven data mining outsourcing. Several issues emerge when anonymization is applied in a real world outsourcing scenario. The majority of methods have focused on the traditional data mining approach; therefore they do not implement domain knowledge nor optimize data for domain-driven usage. So, existing techniques are mostly non-interactive in nature, providing little control to users.
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