Comparative Analysis of Privacy-Preserving Data Mining Techniques

Data Mining is the technique used to retrieve useful information, relationships and patterns from huge databases and data warehouses. It is an important phase of the Knowledge Discovery of Databases process which can be applied on Big Data. Mining on Big Data has various concerns which include protecting sensitive data and securing the useful information extracted from unauthorized access. Privacy-Preserving Data Mining (PPDM) aims to protect the sensitive data and information during the mining process. PPDM techniques have gained the attention of the researchers in recent times. In this paper, we have listed them and identified their advantages and limitations along with the algorithms following these techniques.