Data Mining Lecture 21 - Privacy

Explore the first part of this 45-minute lecture on privacy in data mining that examines real-world privacy breaches and protection mechanisms. Learn about the Massachusetts medical data case study, k-anonymity and related privacy-preserving techniques, and the infamous Netflix challenge where supposedly anonymized data was de-anonymized by combining it with IMDB information. Note that the differential privacy portion has been edited out of this recording from the UofU Data Science series.