A Review on Privacy Preserving Data Mining Techniques and Applications

Using techniques such as clustering, association rule mining, and classification, data mining can uncover hidden insights inside datasets. The growth of sensitive personal information in data sources, on the other hand, has prompted severe privacy concerns. Various privacy-protection solutions have arisen in response to these concerns. This paper intends to investigate the most recent innovations in the field of data mining privacy protection and to provide a comprehensive review of anonymization approaches. This study contributes to the continuing debate on data privacy and security in the age of big data by addressing the issues of balancing data mining’s promise with the requirement to protect personal data.