Project

Data Mining without Spilling the Beans: Preserving more than Privacy Alone

Duration
01 January 2017 → 31 December 2020
Funding
Research Foundation - Flanders (FWO)
Promotor
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
Keywords
Data mining data protection
 
Project description

Researchers, governments, companies, and other organizations increasingly rely on data and data mining methods to generate new knowledge and insights. An important open question is how to ensure that this can be done effectively, while simultaneously safeguarding any sensitive information this data may contain.
The aim of this project is to study the preservation of sensitive information, generically speaking, during a data mining process. Initially the focus will lie on concepts and foundations. In a later stadium, the focus will shift to applications.