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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.
Syllabus
Data Mining Lecture 21- Privacy
Taught by
UofU Data Science