Monday, April 9, 11:00AM
Babbio Center, Room 202
Stevens Institute of Technology
Abstract
The success of data mining relies on the availability of high quality data.
To ensure quality data mining, effective information sharing between
organizations becomes a vital requirement in today's society. Since data
mining often involves person-specific and sensitive information like medical
records, the public acquires a negative impression that data mining is a
tool for privacy intrusion. Privacy-preserving data publishing is a study of
eliminating privacy threats while, at the same time, preserving useful
structures in the released data for data mining. This talk studies a
collection of privacy threats in real life data publishing, and presents a
unified solution to address these threats.