Zeitschrift für Informatik und Systembiologie

Privacy-preserving Data Mining Techniques for Secure and Ethical Knowledge Discovery

Abstract

Nancy Kocyigit*

The explosive growth of data in the digital age has enabled organizations to derive valuable insights and knowledge through data mining. However, the extraction of knowledge from large datasets raises significant privacy concerns. This research article explores privacy-preserving data mining techniques, which balance the need for knowledge discovery with the imperative of safeguarding personal data. We discuss various methods to protect privacy during data mining, emphasizing their importance for secure and ethical knowledge discovery.