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

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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.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/41670
DOI https://doi.org/10.1145/3321707.3321778
Official URL https://dl.acm.org/doi/10.1145/3321707.3321778
ISBN 9781450361118
Subjects Current > 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 1 - View on Scopus
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