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A Study on the Bayesian Network Approach with K-Anonymity i..:
, In:
2022 12th International Conference on Software Technology and Engineering (ICSTE)
,
Chupungco, Jhanna May A.
;
Depalog, Eva Rose V.
;
Ramos, Jeziel Aijeleth G.
. - p. 113-118 , 2022
Link:
https://doi.org/10.1109/ICSTE57415.2022.00024
RT T1 <cTitle>2022 12th International Conference on Software Technology and Engineering (ICSTE)</cTitle>: T1 <Title>A Study on the Bayesian Network Approach with K-Anonymity in Contact Tracing Applications for COVID-19</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10071200&Exemplar=1&LAN=DE A1 Chupungco, Jhanna May A. A1 Depalog, Eva Rose V. A1 Ramos, Jeziel Aijeleth G. A1 De Goma, Joel C. YR 2022 K1 COVID-19 K1 Privacy K1 Computational modeling K1 Predictive models K1 Prediction algorithms K1 Bayes methods K1 Numerical models K1 coronavirus disease K1 contact tracing K1 Bayesian network approach K1 K-anonymity SP 113 OP 118 LK http://dx.doi.org/https://doi.org/10.1109/ICSTE57415.2022.00024 DO https://doi.org/10.1109/ICSTE57415.2022.00024 SF ELIB - SuUB Bremen
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