A genetic algorithm approach to synthetic data production

Abstract

"This paper explains a potential approach to synthetic data generation using genetic algorithms. It based on the principle that optimisation can be strong, accurate and efficient if there is sufficient prior knowledge of solution space. This approach is applicable because its evolutionary and competitive process compares different synthetic versions of the original data and combines their fitness in the finalised dataset." (Text excerpt, IAB-Doku) ((en))

Cite article

Chen, Y., Elliot, M. & Sakshaug, J. (2016): A genetic algorithm approach to synthetic data production. In: Association for Computing Machinery (Hrsg.) (2016): Proceedings of the 1st International Workshop on AI for Privacy and Security, getr. Sz. DOI:10.1145/2970030.2970034