Biblio
Filters: Author is Chun-Wei Lin, Jerry [Clear All Filters]
A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining. 2019 IEEE Congress on Evolutionary Computation (CEC). :1461–1467.
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2019. In recent decades, data protection (PPDM), which not only hides information, but also provides information that is useful to make decisions, has become a critical concern. We present a sanitization algorithm with the consideration of four side effects based on multi-objective PSO and hierarchical clustering methods to find optimized solutions for PPDM. Experiments showed that compared to existing approaches, the designed sanitization algorithm based on the hierarchical clustering method achieves satisfactory performance in terms of hiding failure, missing cost, and artificial cost.