A Benefit-Driven Genetic Algorithm for Balancing Privacy and Utility in Database Fragmentation

Download
Full text for this resource is not available from the Research Repository.
Export

Ge, Yong-Feng, Cao, Jinli, Wang, Hua ORCID: 0000-0002-8465-0996, Yin, Jiao, Yu, Wei-Jie, Zhang, Zhi-Hua and Zhang, Jun (2019) A Benefit-Driven Genetic Algorithm for Balancing Privacy and Utility in Database Fragmentation. In: GECCO ’19, 13 Jul 2019 - 17 Jul 2019, Prague, Czech Republic.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/41670
DOI 10.1145/3321707.3321778
Official URL https://dl.acm.org/doi/10.1145/3321707.3321778
ISBN 9781450361118
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords benefit-driven genetic algorithm; privacy; utility; matching-based recombination; mutation
Citations in Scopus 6 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)