Privacy-Preserving Data Mining and Analytics in Big Data

Privacy concerns have gotten more attention as Big Data has spread. The difficulties of striking a balance between the value data and individual privacy led to emergence privacy-preserving mining analytics approaches crucial area research. An overview major ideas, methods, developments in context is given this abstract. that protects tries glean useful insights from huge databases while shielding private individuals. Commonly used traditional sharing or pooling might serious implications. On other hand, strategies concentrate on creating procedures algorithms enable analysis without jeopardizing personal information. Finally, age bring important opportunities. main are It underscores era data-driven decision-making requirement for effective solutions safeguard sensitive facilitating insightful datasets.